This application relates to the general field of Integrated Circuit (IC) devices and fabrication methods, and more particularly to NOR architecture non volatile Memory Circuit (NOR-Memory) devices and fabrication methods.
Over the past 40 years, one has seen a dramatic increase in functionality and performance of Integrated Circuits (ICs). This has largely been due to the phenomenon of “scaling” i.e. component sizes within ICs have been reduced (“scaled”) with every successive generation of technology.
Memory technology has enjoyed this trend, but now the gains of scaling have slowed and almost stopped. Hence, increases in memory capacity and performance have virtually stalled. There is a need to provide continuing increases in memory capacity and performance.
One way to tackle this is to increase the number of bits per memory cell, effectively increasing the capacity without increasing production cost.
As well, integration of logic and memory needs to be improved, as current methods suffer a high energy cost and large time latency during memory fetches. Over the past 40 years, there has been a dramatic increase in functionality and performance of Integrated Circuits (ICs). This has largely been due to the phenomenon of “scaling”; i.e., component sizes such as lateral and vertical dimensions within ICs have been reduced (“scaled”) with every successive generation of technology. There are two main classes of components in Complementary Metal Oxide Semiconductor (CMOS) ICs, namely transistors and wires. With “scaling”, transistor performance and density typically improve and this has contributed to the previously-mentioned increases in IC performance and functionality. However, wires (interconnects) that connect together transistors degrade in performance with “scaling”. The situation today is that wires dominate the performance, functionality and power consumption of ICs.
3D stacking of semiconductor devices or chips is one avenue to tackle the wire issues. By arranging transistors in 3 dimensions instead of 2 dimensions (as was the case in the 1990s), the transistors in ICs can be placed closer to each other. This reduces wire lengths and keeps wiring delay low.
There are many techniques to construct 3D stacked integrated circuits or chips including:
In a land mark papers at VLSI 2007 and IEDM 2007, Toshiba presented techniques to construct 3D memories which they called—BiCS. Many of the memory vendors followed that work by variation and alternatives mostly for non-volatile memory applications, such as now being referred to as 3D-NAND. They provide an important manufacturing advantage of being able to utilize one, usually ‘critical’, lithography step for the patterning of multiple layers. The vast majority of these 3D Memory schemes use poly-silicon for the active memory cell channel which suffers from higher cell to cell performance variations and lower drive than a cell with a monocrystalline channel. In at least our U.S. Pat. Nos. 8,026,521, 8,114,757, 8,687,399, 8,379,458, and 8,902,663, these are incorporated herein by reference; we presented multiple 3D memory structures generally constructed by successive layer transfers using ion cut techniques. In this work we are presenting multiple methods and structures to construct 3D memory with monocrystalline channels constructed by alternative methods to ion cut and successive layer transfers. This structure provides the benefit of multiple layers being processed by one lithography step with many of the benefits of a monocrystalline channel, and provides overall lower construction costs.
In addition the entire contents of U.S. patent application Ser. Nos. 16/786,060, 16/377,238, 15/911,071, 15/344,562, 62/297,857, 62/269,950, 62/258,433, 62/252,448, 62/208,812, 62/215,112, 62/221,618, 62/246,054, 62/266,610, 62/271,251, 62/276,953 and 62/286,362 are incorporated herein by reference.
In one aspect, a 3D semiconductor device, the device including: a first level including a first single crystal layer and a memory control circuit, the memory control circuit including a plurality of first transistors; a first metal layer overlaying the first single crystal layer; a second metal layer overlaying the first metal layer; a plurality of second transistors disposed atop the second metal layer; a third metal layer disposed atop the plurality of second transistors; and a memory array including word-lines and memory cells, where the memory array includes at least four memory mini arrays, where at least one of the plurality of second transistors includes a metal gate, where each of the memory cells includes at least one of the plurality of second transistors, and where the memory control circuit includes at least one digital to analog converter circuit.
In another aspect, a 3D semiconductor device, the device including: a first level including a single crystal layer and a memory control circuit, the memory control circuit including a plurality of first transistors; a first metal layer overlaying the first single crystal layer; a second metal layer overlaying the first metal layer; a plurality of second transistors disposed atop the second metal layer; a third metal layer disposed atop the plurality of second transistors; and a memory array including word-lines and memory cells, where the memory array includes at least four memory mini arrays, where at least one of the plurality of second transistors includes a metal gate, where each of the memory cells includes at least one of the plurality of second transistors, and where the memory control circuit includes at least one cache memory circuit.
In another aspect, a 3D semiconductor device, the device including: a first level including a single crystal layer and a memory control circuit, the memory control circuit including a plurality of first transistors; a first metal layer overlaying the first single crystal layer; a second metal layer overlaying the first metal layer; a plurality of second transistors disposed atop the second metal layer; a plurality of third transistors disposed atop the plurality of second transistors; a third metal layer disposed atop the plurality of third transistors; and a memory array including word-lines, where the memory array includes at least four memory mini arrays, where each of the at least four memory mini arrays includes at least four rows by at least four columns of memory cells, where at least one of the plurality of second transistors includes a metal gate, where each of the memory cells includes at least one of the plurality of second transistors, and where the memory control circuit includes at least one logic counter circuit.
Various embodiments of the invention will be understood and appreciated more fully from the following detailed description, taken in conjunction with the drawings in which:
An embodiment or embodiments of the invention are now described with reference to the drawing figures. Persons of ordinary skill in the art will appreciate that the description and figures illustrate rather than limit the invention and that in general the figures are not drawn to scale for clarity of presentation. Such skilled persons will also realize that many more embodiments are possible by applying the inventive principles contained herein and that such embodiments fall within the scope of the invention which is not to be limited except by the appended claims.
Some drawing figures may describe process flows for fabricating devices. The process flows, which may be a sequence of steps for fabricating a device, may have many structures, numerals and labels that may be common between two or more successive steps. In such cases, some labels, numerals and structures used for a certain step's figure may have been described in the previous steps' figures.
Memory architectures include at least two important types—NAND and NOR. The NAND architecture provides higher densities as the transistors forming the memory cells are serially connected with only an external connection at the beginning and end of the cell string as is illustrated in at least U.S. Pat. No. 8,114,757, FIGS. 37A-37G. NOR architectures are less dense but provide faster access and could work sometimes when the NAND architecture cannot as individual NOR memory cells are directly accessible and in many cases both its source and drain are accessible, such as being illustrated in at least U.S. Pat. No. 8,114,757, FIGS. 30A-30M. It should be understood that NOR type architecture does not limit its use to only a non-volatile memory but NOR type refers broadly both the non-volatile memory such as Flash memory and volatile memory such as DRAM.
The memory cell could be constructed with conventional N type or P type transistors where the channel doping may be of opposite type with respect to the source and drain doping or the memory cell could utilize a junction-less transistor (‘JLT’) construction where the gate could significantly deplete the channel when in the off-state. For some architectures, the junction-less transistor is attractive as it may take less processing steps (or provide other device advantages such as a low leakage off-state) to form the memory array without the need to form a change in doping along the transistor.
Some 3D Memory architectures are utilizing a horizontal memory transistor, for example, such as illustrated in at least U.S. Pat. No. 8,114,757 in at least FIGS. 37A-37G and FIGS. 30A-30M. Others may use vertical memory transistors, for example, such as in the Toshiba BiCS architecture such as illustrated in at least U.S. Pat. No. 7,852,675.
Multiple methods to construct 3D memory structures using horizontal junction-less transistors for a NAND architecture, and for horizontal NAND and NOR architectures in general may be found in, for example, such as U.S. Pat. No. 8,114,757 in at least FIG. 33 and FIG. 37. The following would present multiple techniques to form a multilayer silicon over oxide start structure equivalent to, for example, such as at least FIGS. 33D and 37D (of U.S. Pat. No. 8,114,757), without the use of ion-cut layer transfer.
The starting structure could be similar to FIG. 41A of U.S. application Ser. No. 14/642,724, incorporated herein by reference, as illustrated in
Then, by utilizing anodizing processes, thick crystalline layer 120 may be converted to a multilayer of alternating low porosity over high porosity as illustrated in
The number of alternating layers included in multilayer structure 122 could be made as high as the number of layers needed for the 3D memory (for example, greater than 20, greater than 40, greater than 60, or greater than 100) or for the transferring of a subset of multilayer structures one on top of the other to form the desired final structure. The porosity modulation could be achieved, for example, by (1) alternating the anodizing current, or (2) changing the light illumination to the silicon structure while in the anodizing process, or (3) by first alternating the doping as layer 120 is being grown through epitaxial process. Below are listed few embodiments of the above method of forming a c-Si/SiO2 multilayer from an alternated porosity multilayer
For example, U.S. Pat. No. 7,772,096, incorporated herein by reference, teaches the formation of a multilayer structure according to (3) above, starting with alternate doping following these steps:
Alternatively, the above steps ii-iv can be carried out after valleys 151, 152 and ridges 154 are formed by masking and etch processes as shown in
The above processing may result in first desired multilayer structure 122 or second desired multilayer structure 124 for the formation of 3D memories.
In yet another embodiment of method (3), U.S. patent application Ser. No. 12/436,249, incorporated herein by reference, teaches an alternative method for the formation of the multilayer structure 122 with alternating doping. In brief, the method starts by multiple depositions of amorphous silicon with alternating doping, then performing a solid phase recrystallization to convert the stack into a stack of p-type doped single crystal Si-containing layers using a high temperature recrystallization, with recrystallization temperatures from about 550° C. to about 700° C. After recrystallization, the single crystal Si-containing layers could be subjected to anodization and so forth as presented in ii-iv above. U.S. patent application Ser. No. 12/436,249 teaches alternatives for the formation of the alternating doping layer structure which could be employed herein for the 3D memory multilayer structure formation.
In an embodiment of method (2), the epitaxial layer 120 could include alternating n doped and n+ doped layers. The porous formation of the n doped layers may be assisted by light to form the holes for the anodizing process to effectively work as had been presented in S. Frohnhoff et. al., Thin Solid Films, (1994), U.S. patent application Ser. Nos. 10/674,648, 11/038,500, 12/436,249 and U.S. Pat. No. 7,772,096, all of these incorporated herein by reference. Following the anodizing step, the structure could be oxidized and then annealed as presented in steps iii and iv above.
In an embodiment of method (1), a method to form alternating layers of coarse and fine porous layers is by alternating the anodizing current similar to the description in “Porous silicon multilayer structures: A photonic band gap analysis” by J. E. Lugo et al J. Appl. Phys. 91, 4966 (2002), U.S. Pat. No. 7,560,018, U.S. patent application Ser. No. 10/344,153, European patent EP0979994, and “Photonic band gaps analysis of Thue-Morse multilayers made of porous silicon” by L. Moretti et al., 26 Jun. 2006/Vol. 14, No. 13 OPTICS EXPRESS, all of these incorporated herein by reference. Following the anodizing step, the structure could be oxidized and then annealed as presented in steps iii and iv above.
The anodizing step could be done as a single wafer process or lot of wafers by using a batch mode as illustrated in U.S. Pat. No. 8,906,218, incorporated herein by reference and other similar patents assigned to a company called Solexel.
In yet another embodiment combining methods (3) and (2), the multilayer structure 122 may be formed by first forming a multilayer structure of alternating n type over p type. Such a method is illustrated in U.S. Pat. No. 8,470,689 and in “Silicon millefeuille”: From a silicon wafer to multiple thin crystalline films in a single step” by D. Hernandez et al., Applied Physics Letters 102, 172102 (2013); both incorporated herein by reference. These methods leverage the fact that such n type silicon would not become porous without light while p type silicon would only need current for the anodizing process to take place. For these methods the multilayer of n over p could be first etched to form the multilayer pattern such as is illustrated in FIG. 31E or FIG. 37E of U.S. Pat. No. 8,114,757 followed by an anodizing process to convert the p type silicon to porous while leaving the n type solid and un-etched. Then the step of oxidation step iii could be used to convert the porous layer to an isolation layer. The annealing step iv could be made short or skipped as the n layers might be very lightly etched or not be etched at all.
In yet another embodiment of method (3), a multilayer structure could be achieved by successive epitaxial growths of n type silicon over p+ type silicon multiple times for which the n silicon could be etched at a much higher rate than the p+ silicon. In a paper titled: “Fabrication of conducting GeSi/Si microand nanotubes and helical microcoils” by S V Golod, V Ya Prinz, V I Mashanov and A K Gutakovsky, Semicond. Sci. Technol. 16 (2001) 181-185, incorporated herein by reference, it presents that p+ silicon would be etched at a much lower rate than n silicon, quoting: “As a selective etchant, an ammonium hydroxide-water solution can be used. It was shown in [8] that the 3.7 wt. % NH4OH solution has a pp+ selectivity of approximately 8000:1 at 75° C. and boron concentration p+=100 m m3.”
Another alternative is an embodiment of method (4), according to which one forms multilayers of silicon over Si1-xGex as illustrated in “New class of Si-based superlattices: Alternating layers of crystalline Si and porous amorphous Si1-xGex alloys” by R. W. Fathauer et al., Appl. Phys. Lett. 61 (19), 9 Nov. 1992, incorporated herein by reference. In such a multilayer structure there is high degree of selectivity in etching Si1-x Gex layers over Si layers. This may be followed by oxidation such as step iii. and anneal step iv. which could provide multilayers of silicon over oxide. In a paper titled: “Novel Three Dimensional (3D) NAND Flash Memory Array Having Tied Bit-line and Ground Select Transistor (TiGer)” by Sc Hwan Park et al., IEICE Transactions on Electronics. May 2012, incorporated herein by reference, the authors present the use of multilayers of silicon over Si1-xGex for forming a 3D NAND device.
An alternative method to the modulated-porosity method for forming c-Si/SiO2 multilayers may be to utilize the Bosch process. In a paper titled “Fabrication and Characterization of Vertically Stacked Gate-All-Around Si Nanowire FET Arrays” by Davide Sacchetto et al. at IEEE SDDR09, incorporated herein by reference, a technique used for deep hole etch has been applied to form structures of crystalline lines one on top of the other each with oxide all around. Similar techniques could be used to form the base structure for 3D memory.
Yet another alternative for forming c-Si/SiO2 multilayer structures is direct epitaxy of silicon, special oxide, and silicon again. The special oxide is a rare-earth oxide which, if deposited properly, would keep the crystal structure of the silicon to allow the growth of crystalline silicon on top of the special oxide as presented in at least U.S. patent application publication 2014/0291752, incorporated herein by reference.
The epitaxial process of multilayers of an n+ type layer over a p type layer could be done at low temperatures such as below about 400° C., 400-500° C., 500-600° C., 600-700° C. or below about 800° C. to reduce the dopant movement of the n+ layer, at the lower portion of the multilayer structure, into the p type layer as the multilayer structure is being formed, which is also referred to as ‘autodoping.’ There are known epitaxial processes in the art which allow good quality layers to be formed while keeping the process temperature low to avoid autodoping. For example, such has been presented in papers by D. SHAHRJERDI, titled “Low-Temperature Epitaxy of Compressively Strained Silicon Directly on Silicon Substrates” published at Journal of ELECTRONIC MATERIALS, Vol. 41, No. 3, 2012; by S. Wirths titled “Low temperature RPCVD epitaxial growth of Si1_xGex using Si2H6 and Ge2H6” published at Solid-State Electronics 83 (2013) 2-9”; and by Pere Roca I Cabarrocas titled “Low temperature plasma deposition of silicon thin films: From amorphous to crystalline” published at Journal of Non-Crystalline Solids, Elsevier, 2012, 358 (17), pp. 2000-2003; by R. Kircher et al. titled “LOW-TEMPERATURE EPITAXY AND IN-SITU DOPING OF SILICON FILMS” published in JOURNAL DE PHYSIQUE IV September 1991, and in U.S. Pat. Nos. 7,262,116, 8,778,811 and application US 2014/0045324, all of the forgoing papers and patents incorporated herein by reference.
Base wafers or substrates, or acceptor wafers or substrates, or target wafers substrates herein may be substantially comprised of a crystalline material, for example, mono-crystalline silicon (“Si) or germanium (“Ge”), or may be an engineered substrate/wafer such as, for example, an SOI (Silicon on Insulator) wafer or GeOI (Germanium on Insulator) substrate. Similarly, donor wafers herein may substantially comprise a crystalline material and may include, for example, mono-crystalline silicon or germanium, or may be an engineered substrate/wafer such as, for example, an SOI (Silicon on Insulator) wafer or GeOI (Germanium on Insulator) substrate, depending on design and process flow choices.
3D Memory may be multi-layers of 2D memory in which memory cells are placed as a matrix with rows and columns. These memory cells are controlled by memory control lines such as bit-lines, source-lines, and word-lines, usually in a perpendicular arrangement, so that by selecting a specific bit-line and specific word-line one may select a specific memory cell to write to or read from. In a 3D memory matrix, having three dimensions, selecting a specific memory cell requires the selection of a specific layer, which could be done by additional memory control lines such as select-lines. As presented herein, some of the select lines could be formed in the semiconductor layer in which the memory devices are built into (for example, in at least FIGS. 31H—SL 3134 and FIG. 50D SL 5034 of U.S. Pat. No. 8,114,757). Other select lines could be deposited or formed thru epitaxial growth. These memory control lines could therefore comprise semiconductor materials such as silicon (for example monocrystalline) or conductive metal layers such as tungsten or aluminum or copper.
A preferred embodiment of monolithic 3D memory according to the present invention is demonstrated herein and outlined below. It utilizes mono-crystalline transistors whose channels are vertically oriented so the current flows vertically through the device across each of the device layers rather than horizontally along the device layers. Yet, this structure is designed to be low cost by sharing lithography, etch and deposition of multiple layers together forming self-aligned vertically oriented transistors.
For example the composition of the S/D layers 302 could be N+ silicon while the channel layers 304 could be P type silicon and the selective etch process would utilize anodic etching as detailed in U.S. Pat. No. 8,470,689 and as was described herein.
An alternative is to use P++ silicon for the S/D layers 302 and N silicon for channel layers 304 and the later selective etch would utilize the NH4OH solution as taught by Golod et al.
Yet another alternative is to use N+ silicon for the (S/D) layers 302 and P type SiGe for channel layers 304 and the later selective etch would utilize the process taught by Sc Hwan Park et al. in a paper titled “Novel Three Dimensional (3D) NAND Flash Memory Array Having Tied Bit-line and Ground Select Transistor (TiGer)” published in TECHNICAL REPORT OF IEICE in 711 (APWF_PSH), a paper by FL W. Fathauer et al. titled “New class of Si-based superlattices: Alternating layers of crystalline Si and porous amorphous Si, -, Ge, alloys” published in Appl. Phys. Lett. 61 (19), 9 Nov. 1992, a paper by Jang-GnYun titled “Single-Crystalline Si Stacked Array (STAR) NAND Flash Memory” published in IEEE TRANSACTIONS ON ELECTRON DEVICES, VOL. 58, NO. 4, April 2011 and U.S. Pat. No. 8,501,609, all of the forgoing incorporated herein by reference.
An interesting aspect of the multilayer structure that are epitaxially based rather than the layer transfer approach is that the whole structure in most cases would resemble one monolithic crystal, in which the crystal repeating element which could be a silicon atom or other molecules which are very well aligned across layers. No molecular level alignment would happen in a layer transfer process. So in an epitaxial process of multilayer formation the molecules forming the multilayer structure are all aligned forming lines that are parallel at better than 0.01 of degree on atomic scale, while in layer transfer based multilayer structure misalignment between layers almost always will be far greater than 0.1 degree. Accordingly the multilayer structure 122 formed by the methods presented herein has single crystal layers having atomic level alignment between the layers, unlike a multilayer structure formed by techniques such as successive layer transfer.
Such a multilayer structure could be constructed on top of a cut layer as illustrated in
For simplicity we shall outline the flow for a vertical channel 3D memory structure including S/D layers 302 as N+ silicon and P type silicon for channel layers 304. A person skilled in the art would be able to modify the flow for other alternative embodiments.
On top of the alternating 302/304 multilayer a hard mask material 306 is deposited.
The width of the ridges and the valleys could be from about 10 nm to a few hundreds of nm. The width of the ridges and the valleys could be determined in consideration of the thickness of layers 302/304, the number of layers, the type of memory being build and other considerations. For example, the valleys and the ridges could have similar widths or other ratios such as 50 nm valleys with a 100 nm ridge, and may be engineered for the specific target structure.
Many of the drawings herein illustrate a section or sections of a 3D structure with either 2D drawings of a cut plane or perspective 3D drawings. In general, the direction along the ridge is referenced as the ‘X’ direction, orthogonal to the ridge is referenced as ‘Y’ direction, and along the epitaxial layers growth—the vertical direction is referenced as Z direction. To help understanding, many of the drawings include a Cartesian direction indicator (for example, direction indicator 300 in
In this 3D-NOR structure, and also in many other memory structures herein, the horizontal per layer line through the matrix the S/D lines 430 could be the limiting factor of the power and performance of the device with respect to how long it could be made. On the other hand, the overhead area required for the stair-case interconnects structure suggests longer lines to save device real-estate and reduce cost per bit. In such a structure, the P type layer may be relatively thick such as larger than about 100 nm to prevent leakage current between two N+ layers consisting of the S/D lines. Alternatively the P type channel in between the S/D lines could be selectively etched for the staircase zones and replaced with an electrically isolative material, as the leakage concern is more severe at zones which have no active gates; for example, active gates could be used to block leakage through the P type channel.
The ridge selection control device may be constructed by first removing the channel material 421 at the region designated for ridge selection control. Then the select gate transistors are formed along the N+S/D lines as outlined in respect to
The architecture referred to as ‘3D NOR’ and illustrated herein in reference to
An additional enhancement to such 3D NOR is to break the gate control into two independent side gates—even gates, in the even valleys, and odd gates, in the odd valleys, controlling a ridge, as shown in
These two gate control lines can be placed on the top connection layer side by side as illustrated in
Additional enhancement to such 3D NOR is to implement MirrorBit® technology as was produced commercially by Spansion for NOR products. The MirrorBit concept was presented in a paper by Boaz Eitan et al. in a paper titled “NROM: A Novel Localized Trapping, 2-Bit Nonvolatile Memory Cell” published at IEEE ELECTRON DEVICE LETTERS, VOL. 21, NO. 11, November 2000, and patents such as U.S. Pat. Nos. 5,768,192, 6,204,529 and application US 2006/0007745, all incorporated herein by reference.
These two enhancements could be combined to allow ‘4 bit per cell’ as is illustrated in
Leveraging this concept a technology detailed in U.S. Pat. No. 6,670,669 incorporated herein by reference, teaches how to add additional center bit for 3 bit locations per facet and total of 6 bit location per channel.
Another known enhancement is to control the amount of charge being stored in a given charge trap location to allow multi-level voltages per cell, hence coding more than 1 bit per storage site. These different enhancement techniques could be combined to achieve an even higher number of bits per cell. Accordingly if each site is designed to hold 4 levels then the cell could store 8 bits and with center site even 12 bits. If more levels are managed at each storage site than the storage capacity of a cell could be even higher.
An additional alternative to consider for the high density multi-bit per cell memory is a refreshable memory or volatile memory. In general, the conventional requirement for non-volatile memory devices is 10 years of data retention time. Some of the techniques described herein for increases of storage capacity might be challenged with holding those stored charges distinctive for the full 10 years, especially for devices that might be operated in high temperature environments, or with the motivation to scale down cell size and tunneling oxide layer thickness. An alternative solution is to periodically tune the device to the desired state at a fixed (or variable) time interval, such as days, weeks, month or few years. Alternatively, a memory controller could read and verify the degree of charge loss or spread and make adjustments. If the integrity of some memory sites has fallen below a set threshold, these memories could be refreshed to repair the memory sites to the full charge level. Such self-monitoring could be done with a minimal impact on the normal device operations or its overall power consumption.
An example approach to select and access a specific bit could be as follows:
In a similar approach any specific storage location could be selected by the choice of one select-line, one bit-line, and one word-line.
Forming staircases on both edges of the ridge, for example, as is illustrated in
The number of layers forming the 3D NOR fabric could increase over time to answer demands to increase the device capacity. For a large number of layers, the vertical access time through the staircase could become large enough to impact the effective access time between lower levels and upper levels. An optional solution to maintain the symmetry and equalization of the access length could be to use access from both sides of the device. Accordingly, one staircase access could be from the top while the other from the bottom, thus keeping the S/D access similar to all memory cells within the unit.
The O/N/O multilayer dielectric charge storage stack 402 in
The choice for gate material could be those common in the art, such as heavily doped n-type polysilicon, heavily doped p-type polysilicon, titanium nitride, tantalum nitride, tungsten, or stack of some of those. Alternatively, it could include more than one type of material such as first depositing a material that is optimized to the device functionality (for example work function) such as doped polysilicon and then additional material such tungsten to reduce the Word-Line resistivity.
For example it could be advantageous to make the tunneling oxide of O/N/O-2 stack extra thin, which we could term ‘thin O/N/O’. The tunneling oxide of the 2nd dielectric gate stack could be made substantially thinner than the thickness required to be a non-volatile memory or even not being formed. Therefore, the thin O/N/O hereinafter might be referred to as the stack without tunneling oxide and charge trap layer being directly contact with the channel. Such could result in shorter retention time but also with shorter write and erase times. Such ultra-thin tunneling oxide is sometimes considered a DRAM (Dynamic Random Access Memory) alternative. Accordingly, such 3D NOR memory could integrate multiple memory types in one device such as conventional NV (Non-Volatile) memory in the facets controlled by, for example, first gates while the faster memories with shorter retention time in the facets controlled by second gates. Such faster memories with shorter retention times are presented in papers such as by H. Clement Wann and Chenmming Hu titled “High-Endurance Ultra-Thin Tunnel Oxide in MONOS Device Structure for Dynamic Memory Application” published at IEEE ELECTRON DEVICE LETTERS, VOL. 16, NO. 11, November 1995; by Dong-Il Moon et al. titled “A Novel FinFET with High-Speed and Prolonged Retention for Dynamic Memory” published at IEEE ELECTRON DEVICE LETTERS, VOL. 35, No. 12, December 2014; by Shih-Jye Shen et al. titled “Ultra Fast Write Speed, Long Refresh Time, Low Power F-N Operated Volatile Memory Cell with Stacked Nanocrystalline Si Film” published at IEDM 96; by Ya-Chin King et al. titled “A Long-Refresh Dynamic/Quasi-Nonvolatile Memory Device with 2-nm Tunneling Oxide” published at IEEE ELECTRON DEVICE LETTERS, VOL. 20, NO. 8, August 1999, and titled “Charge-Trap Memory Device Fabricated by Oxidation of Si11-x Gex” published at IEEE TRANSACTIONS ON ELECTRON DEVICES, VOL. 48, NO. 4, April 2001; by ZongLiang Huo et al. titled “Sub-6F2 Charge Trap Dynamic Random Access Memory Using a Novel Operation Scheme” published 2006 64th Device Research Conference; by M. Gonhan Ertosun et al. titled “Novel Capacitorless Single-Transistor Charge-Trap DRAM (1T CT DRAM) Utilizing Electrons” published at IEEE ELECTRON DEVICE LETTERS, VOL. 31, NO. 5, May 2010; by VA. Gritsenko et al. titled “A new low voltage fast SONOS memory with high-k dielectric” published at Solid-State Electronics 47 (2003); by K. Tsunoda et al. titled “Ultra-High Speed Direct Tunneling Memory (DTM) for Embedded RAM Applications” published in 2004 Symposium an VLSI Technology; by Kooji TSUNODAV et al. titled “Improvement in Memory (DIM) Retention/Program Time Ratio of Direct Tunneling for Low Power SoC Applications” published at IEICE Trans. Electron. Vol E88-C No. April 2005; and in U.S. patent application Ser. No. 11/737,961, 12/030,485, 12/133,237, 12/007,012, and U.S. Pat. Nos. 5,608,250, 6,456,535, 6,888,749, 6,906,953, 6,909,138, 6,958,937, 7,288,813, 7,432,153, 7,462,539, 7,759,715, 7,848,148, 8,329,535, 8,426,906 and 9,025,386; all of the foregoing in this paragraph are incorporated herein by reference.
An alternative memory technology is known in the art as ferro-electric technology. This could be implemented by replacing the O/N/O stack with a ferro-electric stack. Ferro-Electric memory stack has been presented in paper by Jae Hyo Park et al. titled “A hybrid ferroelectric-flash memory cells” published in JOURNAL OF APPLIED PHYSICS 116, 124512 (2014); by Hang-Ting Luc et al. titled “Device Modeling of Ferroelectric Memory Field-Effect Transistor for the Application of Ferroelectric Random Access Memory” published in IEEE Transactions on ultrasonics, ferroelectrics, and frequency control, vol. 50, no. 1, January 2003; and in U.S. patent application Ser. No. 14/875,744, international application WO 2016/029189, and U.S. Pat. No. 6,067,244, all of the forgoing are incorporated herein by reference.
An additional optional enhancement is to combine two levels of memory forming structure in the gate stack such as presented by Daniel Schinke et al. titled “Computing with Novel Floating-Gate Devices” published at IEEE Computer magazine February 2011; and also described by Daniel Johannes Schinke A dissertation submitted to the Graduate Faculty of North Carolina State University 2011, titled “Computing with Novel Floating Gate Devices”; by Biplab Sarkar titled “Dual Floating Gate Unified Memory MOSFET With Simultaneous Dynamic and Non-Volatile Operation” published at IEEE ELECTRON DEVICE LETTERS, VOL. 35, NO. 1, January 2014; and by Yu-Chien Chiu, titled “Low Power 1T DRAM/NVM Versatile Memory Featuring Steep Sub-60-mV/decade Operation, Fast 20-ns Speed, and Robust 85° C.-Extrapolated 1016 Endurance” published at IEEE 2015 Symposium on VLSI Technology, all of the foregoing in this paragraph are incorporated herein by reference.
The 3D NOR memory could include memory columns having thick tunnel oxide, which may support long term charge trapping and thus provide a long retention time. This long retention time may be more than about a year, more than about 3 years, and even more than about 10 years for tunneling oxide thicker than 2.5 nm. These memory cells would have longer write times, perhaps of more than 1 micro-second or even more the 10 micro-seconds. And for other memory columns having a thin tunneling oxide, the thickness may be less than about 1 nm or even less than about 0.5 nm, or even no tunneling oxide—provides only short retention time but with a faster write time. Other portions of the 3D NOR fabric could have a very different level of tunneling oxide such as 0-1, 1-2, 2-3, 3-4,4-5, 5-8 nm. These tradeoffs allow engineering of devices with specific memory attributes to support the end system application.
The preference would have been long retention with fast write cycles. One embodiment to provide longer retention for a very thin tunneling oxide is to use the other side gate of the same channel as a charge retention support which could be described using illustration
U.S. Pat. No. 6,864,139 titled “Static NVRAM with Ultra-Thin Tunnel Oxides”, incorporated herein by reference, teaches the use of positive biasing the primary gate—the word line for holding the trapped charge by having the memory being built using N channel (PNP transistors) for which a positive gate charge disables the transistors. In most memory designs P channels are used for better performance and other considerations. An alternative option is to operate the word-line of a ‘thin tunneling oxide’ in a dual operating mode. For writing it could be charged to a high enough voltage to provide electron tunneling over the tunneling oxide barrier, for example to +4 volt. For retention it could be kept at a retention voltage such as +1 volt to keep holding the electrons in the trap layer. And for reading and other operations for channels related to that word-line it would be set to the proper signal as required for that specific operation. Such multiple functions of the word-line could suggest breaking the word-line to multiple independently controlled individual segments to allow keeping a retention voltage on more memory cells for a longer time without interfering with access to the cells for read and write operations. At high retention bias such as +1 volt many channels could get open. To reduce the potential high leakage of these open channels the related S/D lines could be kept in a floating state which could be achieved by disabling that ridge select transistor(s). And prior to accessing the ridge all these retention biases could be first removed, and may be removed in a sequence to minimize leakage and charge loss. Another alternative is to use a low retention voltage, for example such as +0.34 volts, which could be set below the channel threshold voltage. The retention time could be lower but the ease of operation and the operating power could motivate use of such lower retention bias. The following table suggests exemplary conditions for the word-lines (‘WL’):
The 3D-NOR memory could be designed with more than two tunnel oxide thicknesses. It could have multiple variations of tunnel oxide thicknesses across units of memory, ridges and/or memory-column-side. These could include high speed memory-column-side with a low natural retention all the way to conventional charge O/N/O resulting in a slow write and erase time and 10 years retention. As system needs could be quite different, the fabric may allow targeting the amount of memory types with a wide range of options and ability to very effectively transfer of data from one type to another type within the device. This range of memory types could include sections within a chip with gate supported retention and sections with floating gate as an alternative to charge trap and many other variations or combination of them.
For better performance, the tunneling oxide could be engineered for improved write speed and retention at the same time such as presented by Hang-Ting Luc et al. in a paper titled “BE-SONOS: A Bandgap Engineered SONOS with Excellent Performance and Reliability” published at IEDM 2005, incorporated herein by reference.
Another variation is to avoid tunneling oxide all together as presented by Dong-Il Moon et al. titled “A Novel FinFET with High-Speed and Prolonged Retention for Dynamic Memory” published in IEEE ELECTRON DEVICE LETTERS, VOL. 35, NO. 12, December 2014, incorporated herein by reference.
An optional enhancement for these ‘trap charge’ memory operations is to monitor the level of the charge during a read operation. Such monitoring could guide the refresh operation to reduce overall device power usage. Such monitoring could drive refresh to the cell, the column, the ridge or the unit.
Other variations could be integrated with the described 3D NOR fabric such as been described in a paper by Hee-Dong Kim et al., titled “A New Class of Charge-Trap Flash Memory With Resistive Switching Mechanisms” published in IEEE Transactions on Electron Devices—November 2010, incorporated herein by reference.
To reduce the thermal budget required to form a tunneling oxide and to form a uniform tunneling oxide in any convex and concave corners of the ridges, radical oxidation could be used for the formation of a high quality oxide such as for the formation of the tunneling oxide and/or for smoothing sharp corners and edges to mitigate unintended high e-field conditions. For example, by a TEL SPA (slot plane antenna) tool/machine, wherein oxygen radicals are generated and utilized to form thin thermal oxides (generally of single crystal silicon) at less than 400 deg C.
Another alternative is to utilize an isotropic selective etch of the P regions to form floating gates for the first gate stack or the second gate stack or first for 1st gate stack and then for the 26 gate stack. It should be noted that by adding the polysilicon as the floating gate in the indented channel of only ‘first for 1st gate stack’, the floating gate is made local per channel and is not continuous along the ridge.
Throughout the patterning, etch (wet/dry) processing, such as cleaning and rinse, selective removal process, and so on herein, the resultant (after each step or after a combination of steps) ridge structure may contain sharp corners. If necessary, corner rounding processing to alleviate the corner effects may be added. The exemplary processes for corner smoothing may include, for example, radical oxidation and partial/full oxide removal, and surface atom migration by heat treatment.
Another alternative is to etch some portion but not completely the second channel, such as a P-type region, before adding the 2nd gate stack. These recesses in the channel regions could be made deep enough so that 2nd gates could be used to manipulate the bit locations horizontally in the 1st O/N/O charge storage layer. In U.S. application Ser. No. 14/874,366, incorporated herein by reference, in reference to at least
Another alternative is to process the structure and to silicide the S/D (The N+ regions) which could be used to form a Schottky Barrier between the S/D and the channel, and strongly reduce the bit-line (S/D) resistivity. The silicide region may be directly in contact with the channel. Alternatively, the silicidation in the S/D N+ region may be formed to simply reduce series resistance when the silicide region is not substantially close to the channel. If desired, the silicidation region may be substantially close but not directly in contact with the channel where the channel and the silicide region are separated by a segregated n-type doped region. Some of techniques for these tunings are presented herein later.
The starting point could be similar to the one illustrated in
An important note in respect to the silicidation process of the 3D NOR fabric is that any S/D regions that are designated to become horizontal transistor—JLT, such as the ridge select regions, should be protected from the silicidation process by proper masking and protection.
Some techniques for such silicidation and using silicidation for memory applications, has been presented by Chaochao Fu et al. in a paper titled “Schottky Barrier Height Tuning via the Dopant Segregation Technique through Low-Temperature Microwave Annealing” published at Materials 2016, 9, 315; and by Yu-Hsien Lin et al. in a paper titled “Microwave Annealing for NiSiGe Schottky Junction on SiGe P-Channel” published at Materials 2015, 8, 7519-7523; doi:10.3390/ma8115403; and by Chung-Chun Hsu et al. titled “High-Performance Schottky Contact Quantum-Well Germanium Channel pMOSFET With Low Thermal Budget Process” published at IEEE ELECTRON DEVICE LETTERS, VOL. 37, NO. 1, January 2016, all incorporated herein by reference. Use of a Schottky barrier to enhance charge trap memory device has been reported by Chun-Hsing Shih et al. in a paper titled “Multilevel Schottky Barrier Nanowire SONOS Memory With Ambipolar n- and p-Channel Cells” in IEEE TRANSACTIONS ON ELECTRON DEVICES, VOL. 59, NO. 6, June 2012, and another titled “Effects of Dopant-Segregated Profiles on Schottky Barrier Charge-Trapping Flash Memories” in IEEE TRANSACTIONS ON ELECTRON DEVICES, VOL. 61, NO. 5, May 2014; and another titled “Nonvolatile Schottky Barrier Multibit Cell With Source-Side Injected Programming and Reverse Drain-Side Hole Erasing in IEEE TRANSACTIONS ON ELECTRON DEVICES, VOL. 57, NO. 8, August 2010; and similar works reported by Wei Chang et al. titled “A Localized Two-Bit/Cell Nanowire SONOS Memory Using Schottky Barrier Source-Side Injected Programming” in IEEE TRANSACTIONS ON NANOTECHNOLOGY, VOL. 12, NO. 5, September 2013; another titled “Drain-induced Schottky barrier source-side hot carriers and its application to program local bits of nanowire charge-trapping memories” in Japanese Journal of Applied Physics 53, 094001 (2014), another “Sub-IOY 4-Bit/Cell Schottky Barrier Nanowire Nonvolatile Memory” at 2012 12th IEEE International Conference on Nanotechnology (IEEE-NANO); and by Ching-Yuan Ho et al. titled “Enhancement of programming speed on gate-all-around poly-silicon nanowire nonvolatile memory using self-aligned NiSi Schottky barrier source/drain” in URNAL OF APPLIED PHYSICS 114, 054503 (2013), all of the forgoing are incorporated herein by reference.
In a Schottky Barrier (‘SB’) transistor the source and the drain (‘S/D’) of the transistor are defined by the silicidation and not by the N+ doping. The use of a Schottky Barrier S/D results in a sharper electric field profile near the junction compared to the N+S/D. Therefore, the trapped charge profile can be more tightly localized near the junction region which makes more distinctive state differences for mirror-bit applications. Additional advantage is in reading a mirror-bit set up, by allowing a read of both bits with a single cycle, which supports use of mirror-bit density doubling for high speed applications, such has been described in a paper by Zhou Fang et al. titled “A Study on Schottky Barrier NOR Flash Memory” published at Nanoelectronics Conference (INEC), 2011 IEEE 4th International and a paper by Yan-Xiang Luo et al. titled “Coupling of carriers injection and charges distribution in Schottky barrier charge trapping memories using source-side electrons programming” presented at Semicond. Sci. Technol. 29 (2014) 115006, and in U.S. Pat. No. 8,183,617 all of the forgoing are incorporated herein by reference. The desired Schottky Barrier S/D may be achieved with the appropriate device and operational engineering choices.
For the 3D NOR fabric processing and to enable selective etching of the channel region 811 at
Alternatively the S/D layer could be first form N+ doped layers such that the silicidation process could form Dopant Segregated Schottky Barrier (DSSB). Such has been described by Sung-Jin Choi et al. in papers titled “High Speed Flash Memory and 1T-DRAM on Dopant Segregated Schottky Barrier (DSSB) FinFET SONOS Device for Multi-functional SoC Applications” published at 2008 IEEE International Electron Devices Meeting; “Enhancement of Program Speed in Dopant-Segregated Schottky-Barrier (DSSB) FinFET SONOS for NAND-Type Flash Memory” in IEEE ELECTRON DEVICE LETTERS, VOL. 30, NO. 1, January 2009; “High Injection Efficiency and Low-Voltage Programming in a Dopant-Segregated Schottky Barrier (DSSB) FinFET SONOS for NOR-type Flash Memory” in IEEE ELECTRON DEVICE LETTERS, VOL. 30, NO. 3, March 2009; “Performance Breakthrough in NOR Flash Memory with Dopant-Segregated Schottky-Barrier (DSSB) SONOS Devices” in IEEE 2009 Symposium on VLSI Technology; “Fin Width (Wfin) Dependence of Programming Characteristics on a Dopant-Segregated Schottky-Barrier (DSSB) FinFET SONOS Device for a NOR-Type Flash Memory Device” in IEEE ELECTRON DEVICE LETTERS, VOL. 31, NO. 1, January 2010; “P-Channel Nonvolatile Flash Memory With a Dopant-Segregated Schottky-Barrier Source/Drain” in IEEE TRANSACTIONS ON ELECTRON DEVICES, VOL. 57, NO. 8, August 2010; and “Analysis of Trapped Charges in Dopant-Segregated Schottky Barrier-Embedded FinFET SONOS Devices” in IEEE ELECTRON DEVICE LETTERS, VOL. 30, NO. 10, October 2009, additional work by Yu-Hsuan Chen analyzes the effect of S/D doping as reported in a paper titled “Iterative Programming Analysis of Dopant Segregated Multibit/Cell Schottky Barrier Charge Trapping Memories” published at the 2015 15th Non-Volatile Memory Technology Symposium (NVMTS), all of the forgoing are incorporated herein by reference. More articulately, the overall S/D regions consist of the metal-silicide while the S/D to channel junction is formed with dopant-segregated Schottky barrier junction as explained by the references incorporated herein. An important advantage of a DSSB based structure is the reduction of ambipolarty which interferes with the 3D NOR memory functionality. Both SB and DSSB enable a very significant reduction of write time for the same tunneling oxide thickness and accordingly enable high retention time together with a high speed write time. This could make this memory fabric very attractive to replace DRAM type memory applications in which a fast memory access for read and write is very important. Combining silicidation according to these techniques with a thinner tunneling oxide could enable fast access with a still long enough retention thus reducing the device active power, operational overhead and complexities. Additional advantage is the added flexibility in engineering the 3D NOR fabric. SiGe could be used to define the channel and the S/D while doping could be used to optimize the transistor performance together with silicidation to engineer the Schottky barrier and segregation to further engineer the transistor and its related memory performance. If desired, the exposed surface of Ge or SiGe channel could be passivated by a capping layer, for example, comprised of Si, followed by gate oxide stack formation. This will reduce the interface states and relative noise and improve the channel mobility. Alternatively, the exposed surface of Ge or SiGe channel can be directly in contact with charge trapping layer. This embodiment increases the interface state, which can be positively utilized to increase charge trap density for DRAM application and trapping efficiency.
An additional alternative could be forming an asymmetrical memory transistor, such as having different doping of the odd S/D layers and the even S/D layers such that the vertical transistor could be engineered for conventionally a doped source and a dopant segregated Schottky barrier or normal Schottky barrier drain. Alternatively, the vertical transistor can be formed with a dopant segregated Schottky barrier or normal Schottky barrier source and a conventionally doped drain. Such asymmetric memory structure could also exhibit less ambipolar transport characteristics. In addition, such asymmetrical memory transistor could be engineered for faster time or lower voltage erase conditions. Such as has been presented in a paper by Yu-Hsuan Chen et al. titled “Drain-Controlled Ambipolar Conduction and Hot-Hole Injection in Schottky Barrier Charge-Trapping Memory Cells” published at 15th International Workshop on Junction Technology (IWJT) and is incorporated herein by reference.
The silicidation process enables an alternative form of ridge select transistor formed in the S/D line. Such an alternative to JLT 1314, 2113, 4020, 4134 as a horizontal S/D line control device could be formed and utilized. For such the Source or the Drain or both could be left uncovered and accordingly forming an DSSB transistor or SB transistor. Another alternative is the asymmetric Schottky-barrier transistor (“ASSBT”) such as presented in a paper by Zer-Ming Lin et al. titled “Characteristics of n-Type Asymmetric Schottky-Barrier Transistors with Silicided Schottky-Barrier Source and Heavily n-Type Doped Channel and Drain” published in the Japanese Journal of Applied Physics 51 (2012) 064301; and by Ru Huang et al. titled “High performance tunnel field-effect transistor by gate and source engineering” published in Nanotechnology 25 (2014) 505201; or an alternative structure using two control gates as presented by Sebastian Glassner et al. in a paper titled “Multimode Silicon Nanowire Transistors” published at Nano Lett. 2014, 14, 6699-6703; or by Jian Zhang et al. titled “A Schottky-Barrier Silicon FinFET with 6.0 mV/dec Subthreshold Slope over 5 Decades of Current” published at IEDM14; or a paper titled “Polarity-Controllable Silicon Nanowire Transistors With Dual Threshold Voltages” published at IEEE TRANSACTIONS ON ELECTRON DEVICES, VOL. 61, NO. 11, November 2014; or similar work by M. De Marchi et al. titled “Polarity Control in Double-Gate, Gate-All-Around Vertically Stacked Silicon Nanowire FETs” published at IEDM12; and a follow-on paper titled “Configurable Logic Gates Using Polarity-Controlled Silicon Nanowire Gate-All-Around FETs” published in IEEE ELECTRON DEVICE LETTERS, VOL. 35, NO. 8, August 2014; or a work by T. A. Krauss et al. titled “Favorable Combination of Schottky Barrier and Junctionless Properties in Field Effect Transistors for High Temperature Applications” to be published at PRiME 2016, all of the forgoing are incorporated herein by reference. Such a transistor could be formed horizontally by the silicidation process in which just the channel is protected from silicidation or the channel and the drain are protected from silicidation for the asymmetric ASSBT. The use of multiple gates with SB transistors as presented in these papers provide electronic control of SB transistors controlling its ambipolarity to get an N type or P type unipolar transistors. As previously presented the S/D layers doping could allow engineering of the vertical memory transistors in the range from SB transistors to DSSB transistors. With low doping the gate biasing could help increase transistor channel control thus enabling further engineering of the vertical transistors and the horizontal transistors within the 3D NOR fabric. These open up multiple device tuning options for better support of various targeted applications.
The 3D NOR engineering to a specific application could include any of the techniques presented herein and their combinations. One of such combinations could be the use of the non-indented memory column 1014 with a thinner tunneling oxide. Thinner tunneling is used for shorter retention, faster access, with higher rate of refresh. Using the side word lines 1012 and 1016 could allow doubling the number of storage locations by proper biasing of the side gates which are also indented to give them better control of the electric field of the memory cell(s) being accessed in the non-indented memory column 1014 and accordingly controlling the storage location laterally with respect to the channel area. Having that memory designated for shorter storage time makes it less impacted by (the stored) charge movement over time as it is often refreshed. The natural spread of a charge within the charge trap layer is highly related to time and temperature. Memory cells that are functioning as a DRAM could make use of multiple charge storage locations per facet thereby increasing the effective memory storage and density. Two or more locations could therefore be controlled by the side gates 1012, 1016. Such a density increase could be used with decreasing the memory access time.
Other storage density enhancements such as mirror bits and multilevel programmation/reads could be also be used, but these techniques do impact the access time or may require special sense amplifier techniques. The level of channel indentation could be engineered for the specific memory application, it could be made about 5%, about 10%, about 20% or even about 30% of the channel width. It could be made symmetrical on both the odd side the even side, simplifying the related processing, or asymmetrical.
The right/left bit manipulation could work together with the mirror-bit and or multi-level to provide a higher storage density. Engineering of a memory product could include the trade-offs between the many parameters such as storage density, access time, sense amplifier complexity, retention time, and so forth.
An additional engineering alternative of the 3D NOR memory is to leverage the indent concept to reduce cell to cell interference. The charge trapped corresponding to the non-indent channels 1012, 1016 could provide a longer distance and thus less interference on the neighboring channels—the indented channels 1014, while the charge trapped corresponding to the indent channels 1014 could have a shorter distance and more interference on the neighbor channels—the non-indented channels 1012, 1016. The memory structure could be engineered to take advantage of this asymmetry by trapping more charge at the non-intended cells and less charge at the intended cells. This could correspond also in use of a thinner charge trapping layer for the indented cells than for the non-indented cells or other type of tuning the O/N/O trapping capacity to trap smaller charge in the indent cells. For example the trapping capacity of the indent cell could be engineered to be about 30%, about 50% or even about 70% lower than that of the non-indent cells 1014. Another alternative is to have the indent gate narrower and the non indent cell wider in respect to X direction (along the ridge). The wider cell would have both more charge being trapped and a higher average distance to the interference. An added advantage for such could be an increased storage room for more storage sites as was discussed in reference to
As explained previously,
It is desirable to keep the ridge select 1322 of a ridge isolated from the ridge select of the adjacent ridge 1324. The objective could be leveraging the thinning of the S/D lines used in forming the JLT 1314 and the thinner gate oxide of the ridge select gate in which no charge trapping nor tunneling oxide is used. Accordingly, such ridge select isolation could have a very low impact valley width 1305.
As explained previously, in
The following illustrates an alternative stair-case oriented orthogonally to the ridge direction. For this type of staircase the ridge formation could be designed to leave in a connective vertical ridge 1404. The vertical ridge 1404 could be used to form connection bars in the Y direction to form a per layer connective bar for the S/D lines of the ridge within the unit 1402. This bar could be silicided to reduce the resistivity during the S/D silicidation process. This bars could be made wider such 50-100, 100-200, 200-400 nm or even wider to support a per layer low resistivity connection.
The new type of 3D memory described herewith could be constructed to achieve a significant advantage over prior art by utilizing the 3D architecture illustrated in
The 3D memory described herewith could be further enhanced to include dual functionality—high speed volatile memory and low power low speed non volatile memory.
There are many uses for such an enhanced memory including splitting the memory bank to volatile and non-volatile portions, power down with transferring the volatile information into the non-volatile portion, and reduce sleep power by moving the volatile information into the non volatile portion. For some of these use modes the 3D structures presented herein with control circuits on top and/or on the bottom—for example,
Central controller 1630 commanding and controlling operations of sleep mode, recovery mode, etc.
In-Out interface controller 1632 to interface with external data and with the device controller 1601.
Sense Amplifiers 1620 to sense the data of memory cells in the designated block 1602 and convert the resultant digital bit to the block memory cash 1634.
Signal generators 1618 to generate the required voltages and currents for read/write of the memory cells. Some of these circuitries, such as charge pumps, could be shared by many units and be placed inside memory control circuits 1601.
Blocks 1612, 1614, 1616 and 1617 comprise the various control lines such as bit-lines, word-lines, gate-lines, select lines etc. The layer decoders 1616 might be moved from the unit 1604 into the general per-layer circuits at side memory control circuits 1601.
An additional advantage for such memory architecture is the potential ability to move in and out very large blocks of data, as many blocks 1602 could be accessed in parallel. If only a single per-layer staircase is used for maximum array efficiency than the parallel action would be limited to single layer at a time. For many applications this could be managed by proper system data structure and control.
Such 3D Memory could include redundancy circuitry to allow repair of control functions as well as replacement of faulty memory bits or memories in a faulty ridge, or memory in a faulty word line. The architecture of
This architecture could also support additional modes of operation. The structure could be designed to allow independent access to 8 blocks provided none of them share the Peripherals circuits. It could be designed to support synchronized access of up to 8 units sharing the same row or sharing the same column and or the same layer, reducing access power and still provides multiple bits.
It could be designed to support on-chip transfer of data from the slow non-volatile portion to the high-speed thin tunneling oxide, also referred as thin O/N/O, portion or the other way around. Such data transfer could be done to, for example, 8 blocks in parallel, thus reducing time and power requirements. Such capabilities could allow high speed access with a low power operating mode. So data is transferred to thin tunneling oxide designated block for fast access but could stored back into the NOR NV section for sleep or power down.
The corners Clt, Crt, Clb, Crb could be used for device top level control for the operating mode, to generate the special voltage source required for read and write, and for interface to external devices.
The allocation of different types of memory within the 3D Memory fabric could be done along layers—vertically or along units—horizontally. Having a 3D Memory fabric with more than one type of memory or even other functions such as logic could enable a very effective 3D heterogeneous device. The on-chip parallel interchange between the various elements using thousand or even millions of lines could not be matched by other form of integration. And added advantage is the use of many common processing steps reducing the manufacturing cost of the overall system in addition to improvements in speed and power.
In general memory design it is common to use partitioning which utilizes powers of 2 numbers such as: 2, 4, 8, 16, 32, 64 . . . Such works well with decoding and addressing. Yet, in some cases the number of bits sited within a facet is 6, which will be challenging for the decoding function—as was described herein and in reference to U.S. Pat. No. 6,670,669. An optional solution is to find a memory allocation which would be close enough to bridge this challenge with minimal overhead. A simple look up table could be used for the circuit to support such a memory allocation.
For example 3 layers could be used to form the 18 memory sites of which 16 would be used. Or 11 layers to form 66 sites of which 64 could be used reducing further the unused memory sites, which could also be used as redundancy for repair of defective sites with proper look up table in the control circuits. This could also be used for other functions, for example, such as error correction codes, radiation mitigation schemes, and so on.
A bit different for many memory structure is this 3D NOR structure in which the S/D line—the bit line is a dual function line. It is the Source line for layer ‘n+1’ while it is the Drain line for layer ‘n’, and the source and the drain could be swapped. An optional architecture of peripheral circuits for driving the bit-lines—the S/D lines is presented in the following example.
For simplicity the following peripheral circuits support the bit-lines BL1, BL2, BL3 of the structure illustrated in
The
For the case when column ‘n’ is addressed NAND 1930 may be activated and accordingly the selector M3 of 1940 would select SDn signal to drive bit-line to S/Dn at 1920 such as BL1, and selector M3 of 1941 would select SDn+1 signal to drive bit line related to S/Dn+1 such as BL2. All non-activated selectors (M3) will output “0”, or may be left floating in some configurations, which will prevent their respective channel from being affected or affect the memory operations. Accordingly the proper signal is provided to perform the desired operation to the addressed bit within the addressed facet on the addressed channel.
In some configurations the M3 selector could be constructed to select between two active signals or leave the output floating which will render that line in-active.
Sense amplifiers for memory application are well known in the art. Tuning of the sense amplifier to the VT shift resulted from charge trapping could help the memory to be less sensitive to the ambipolarity associated with some of the options for the vertical memory transistor. The ambipolar current referred herein is the drain current flowing when the gate voltage is biased substantially low or even negative. When the memory is in programmed state, the drain current would be substantially small. However, for the memory device with ambipolarity, the Ambipolar current may flow even for the programmed cell. In order to sense the memory device with Ambipolarity, the slope of drain current over the gate voltage may be used, which can be enabled by a two-step read; read at low gate voltage and at elevated gate voltage followed by comparison of the two. When the memory is in the erased state, the drain current is increased with increasing gate voltage. When the memory is in the programmed state, the Ambipolar current is getting smaller with increases in gate voltage. Designing the sense amplifier accordingly could accommodate the 3D memory with ambipolar transistors. These types of slope tuned sense amplifiers are well known for STT-RAM as presented in a paper by Yiran Chen et al., titled “A Nondestructive Self-Reference Scheme for Spin-Transfer Torque Random Access Memory (STT-RAM)” published at Design, Automation & Test in Europe Conference & Exhibition (DATE), 2010, incorporated herein by reference.
Another alternative is to use thinner tunneling oxide with high speed programming performance. This would require refreshing periodically which could be acceptable for many applications. Another alternative is to have one side of the ridge with regular O/N/O for channel programming and the other side with just oxide for fast gate control resembling the structure of
Some of the alternative structures presented herein are leveraging multilayers of 3D stacks, namely a stack of 3D stacks. The stack within 3D stacks can be arbitrarily selected based on its use.
One such Z direction change technique is forming subsets of layers with different thicknesses in the stack. As the stack could be formed by epitaxial growth, changing the gas or deposition time(s) or other process parameters could result in layers with various thickness in the Z direction, which could enable, for example, forming multilayer structures of about 50 nm per layer in thickness in a memory portion overlaid by multilayer structures of less than about 20 nm per layer for the logic portion.
Another alternative is to put a blocking hard pattern in-between the memory stack and the logic stack.
Processing fabrics for 3D NOR Memory while also forming 3D NOR Logic could reduce costs, while in other cases it might work better to process these fabrics mostly independently and then connect them together for a more efficient (cost and/or performance) overall 3D system. There are many options for mix and match between steps and fabrics presented herein and the choice of a specific flavor could also be affected by the target objective for the end 3D system.
The substrate 2150 could then be removed as illustrated in
This side wafer approach allows the decoupling of the 3D NOR fabrication process from the fabrication of the support circuits. It could allow using a relatively less dense process for generic 3D NOR and an advanced high density process for the support circuits.
In some applications it might be desired to add on the peripheral circuits on top of the word-lines level 2132 using a similar concept of layer transfer and “smart-alignment”.
An optional partition of the 3D-NOR fabric, to a multiplicity of units, was previously presented in relation to
The formation of the 3D NOR logic fabric as an array of semi-independent units fits well with the ideas of continuous array and 3D configurable FPGAs as presented in U.S. Pat. Nos. 8,384,426 and 8,115,511 incorporated herein by reference, as related to at least its FIGS. 7-13, FIGS. 36-38, and FIG. 41.
Another alternative to increase the 3D NOR logic density is to use the bottom side for logic, as well other sides. A layer transfer flow for forming a 3D programmable system, leveraging the 3D NOR fabric, was described in respect to
The gate access could be multiplexed between the programming peripherals circuits 2354 and the bottom logic control circuits 2374.
An alternative application of the technology is to use part of the 3D NOR logic fabric for operations resembling a brain Synapse. A paper by Lixue Xia titled “Technological Exploration of RRAM Crossbar Array for Matrix-Vector Multiplication” published at JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 31(1): 3-19 Jan. 2016, incorporated herein by reference, teaches the use of a crossbar RRAM array for matrix-vector multiplication. Accordingly the RRAM pillars and the corresponding S/D segments could be used for such functions. Papers by Sangsu Park, et al., titled “Electronic system with memristive synapses for pattern recognition” published by Scientific Reports |5:10123| DOI: 10.1038/srep10123, by Yu Wang, et al., titled “Energy Efficient RRAM Spiking Neural Network for Real Time Classification”, published at the 25th Symposium on VLSI, by Manan Suri, titled “Exploiting Intrinsic Variability of Filamentary Resistive Memory for Extreme Learning Machine Architectures” published by IEEE Transactions on Nanotechnology 15 Jun. 2015 and Sangsu Park, titled “Nanoscale RRAM-based synaptic electronics: toward a neuromorphic computing device” published by Nanotechnology 24 (2013), all the forgoing incorporated herein by reference. These teachings use of an RRAM cross-bar for brain type processing could be implemented in the 3D NOR fabric RRAM pillars and the corresponding S/D segments.
Another alternative is to utilize the 3D NOR fabric floating-body memory structure for a Synapse type circuit as is presented in paper such as one by Min-Woo Kwon et. al. titled “Integrate-and-Fire Neuron Circuit and Synaptic Device using Floating Body MOSFET with Spike Timing-Dependent Plasticity” published in the JOURNAL OF SEMICONDUCTOR TECHNOLOGY AND SCIENCE, VOL. 15, NO. 6, December 2015, incorporated herein by reference.
The 3D NOR fabric could also be adapted to an associative memory function. For an associative memory function, a unit could be programmed and operated to provide a quick and parallel operation to identify a match. For simplicity the description would be for a single ridge. Let use the following terms:
The above concept could be used to provide more operations in parallel by having the S/D line sensed individually per each ridge in the associative memory units. Other variations could be used to achieve a higher memory efficiency, such as, for example, mirror bits
The associative memory concept could be adapted to form an analog correlator in which the signal on S/Dn+1 is the ‘sum-of-product’ between the stored data on the ‘n’ layer cells (Moddin, Mevenin) and the signal on the word-lines. Such a correlation function could very useful for many signal processing functions. Alternatively, the associative memory can be a content-addressable memory. The content addressable memory can be useful for network applications, big data applications such as voice recognition, video processing, and etc.
As a general note we described herein 3D memory structure and variations. There are many ways to form other variations of these structures that would be obvious to an artisan in the semiconductor memory domain to form by the presented elements described herein. These may include exchanging n type with p type and vice versa, increase density by sharing control lines, silicidation of some in silicon control lines, providing staircase on both sides of memory blocks to improve speed and reduce variation including sharing staircase in between two blocks and other presented variations herein. Many of these options have been presented here for some memory options and it would be obvious to artisan in the semiconductor memory domain to apply those to the other memory structures.
The structures and flow presented herein are utilizing NPN transistors. Other types of transistors with the corresponding modification of process and materials could be used as an alternative such as junction-less transistors, or non-silicon transistors (for example SiGe, CNT, and so on). Those alternatives could be implemented leveraging the special benefits of the architecture disclosed herein.
The 3D NOR fabric as described herein could be used to form functional blocks such as volatile and non-volatile memories and programmable logic. These could leverage similar process flows and structure, and function with added layers on top and below, such as peripheral circuits 2254, 2154. These could be used to form system devices by mixing these functions one on top of the other and/or one side by side as could be engineered using the principles and flows described herein as an engineer in the art will use to form 3D systems and devices for the required application.
A 3D system could be made by custom design or by use of generic structure, for example, the 3D NOR fabric described herein, which could be combined with structure on top or below forming dedicated 3D systems. In U.S. Pat. No. 9,136,153, incorporated herein by reference, several techniques are presented using generic structure(s), also called continuous array, to form dedicated systems. Such as been described referencing at least FIGS. 11A-11F, 12A-12E, 19A-19J, 84A-84G, 215A-215C, 234A-234B of U.S. Pat. No. 9,136,153. Accordingly the same 3D-NOR fabric could provide fabric to two different products who could have the same size but a different mix of upper structure 3432 or bottom structure 3454. Or have different product sizes so one 3D-NOR fabric of one product could be the same of a subset of the 3D NOR fabric of another device. In general, use of the same fabric for different products reduces both the set up—NRE costs and the volume production costs. Arrays that have a regular structure and being programmable together with 3D construction are a very good fit for these sharing techniques.
The use of layer transfer in construction of a 3D NOR based system could be enable heterogeneous integration. The memory control circuits, also known as peripheral circuits, may include high voltages and negative voltages for write and erase operations. The circuits may include the charge pumps and high voltage transistors, which could be made on a strata using silicon transistors or other transistor types (such as SiGe, Ge, CNT, etc.) using a manufacturing process line that is different than the low voltage control circuit manufacturing process line. The analog circuits, such as for the sense amplifiers, and other sensitive linear circuits could also be processed independently and be transferred over to the 3D fabric. Such 3D system construction could be similar to the one illustrated in at least
Another alternative is to leverage the very high etch selectivity of SiGe vs. Silicon for layer transfer. Instead of using the porous silicon 3443 which has been referred to as modified ELTRAN flow, use sacrificial SiGe. The substrate could have sacrificial SiGe over silicon epitaxial and then epitaxy of silicon over the SiGe. Recently it become a very attractive concept for processing gate all around horizontal transistors and has become the target flow for next generation devices such as the 5 nm technology node. Some of the work in respect to selective etching of SiGe vs. silicon has been presented in a paper by Jang-Gn Yun et al. titled: “Single-Crystalline Si Stacked Array (STAR) NAND Flash Memory” published in IEEE TRANSACTIONS ON ELECTRON DEVICES, VOL. 58, NO. 4, April 2011, and more recent work by K. Wostyn et al. titled “Selective Etch of Si and SiGe for Gate All-Around Device Architecture” published in ECS Transactions, 69 (8) 147-152 (2015), and by V. Destefanis et al. titled: “HCl Selective Etching of Si1-xGex versus Si for Silicon On Nothing and Multi Gate Devices” published in ECS Transactions, 16 (10) 427-438 (2008), all incorporated herein by reference.
The process could include the following steps as illustrated in
The donor wafer ‘tearing off’ could be assisted by known techniques such as, for example, water-jet, wedge, laser cutting, etched assisted tearing off and mechanical twist and pull.
Alternatively additional interconnection layers and other processing could be added in between step ‘G’ and ‘H’ above. So the structure illustrated in
The use of SiGe for epitaxial base ‘cut’ layer instead of porous ‘cut’ layer could be adapted to many of the flows presented in U.S. application Ser. Nos. 14/642,724, 15/095,187, and 15/173,686, all the forgoing are incorporated herein by reference. It does add some complexity related to the holding posts formation and the holes to etch the SiGe through prior to performing the layer transfer. For applications in which two layer of acting silicon, and isolation layer in between, is desired, the in-between SiGe could be removed after the transfer and replaced with isolation material.
Another alternative is to skip steps related to
Alternatively the SiGe layer 2404 could be used as an etch stop. In this approach the base substrate 2402 would not be reused but rather be ground and etched away. The back grind and etch back could use wet etching and the SiGe layer 2404 could be designed to be very resistive to the silicon wet etching. The SiGe could be designed to have few layers including one that might have high Ge content, for example, such as over about 20% or over about 40% or over about 80%, followed by other layers with low Ge content such as less than about 20% or even less than about 10% to reduce stress so to support the silicon layer 2406.
Alternatively the ‘cut’ process could be integrated with could be integrated with Siltectra's ‘Cold Split’ technology as has been detailed in at least U.S. Pat. Nos. 8,440,129 and 8,877,077, applications 20160064283, 20160086839, all of which are incorporated herein by reference. These techniques would allow recycling, for example, of base substrate 2402. The SiGe could be used to provide the “Pre-Defined Break Initiation Point” as an alternative to the Siltectra use of laser or in addition to it. The Siltectra's ‘Cold Split’ could reduce the need for the undercut etch and posts formation process while providing reuse of the base substrate 2402 (for example). For this technique a multilevel SiGe could be designed to support the ‘cut’ on the one hand but also to reduce damage to the device layer on the other. This could be accomplished by increasing the Ge content in the interface with the base substrate 2402 to have high Ge content such as over about 20% or over about 40% or even over about 80% and then on the side interfacing with device layer 2406 forming a low Ge content such as less than about 20% or even less than about 10% to reduce stress so to support the silicon layer 2406.
Once the base substrate 2402 is removed a selective etch could be used to remove the SiGe residues and thinning processes such as etch and/or CMP could be used to further thin the back side of the device layer 2406. Connection layers could be added included vias aligned to the target wafer 2502 using “Smart Alignment” and similar 3D integration techniques discussed here and the incorporated by reference art.
The Cold Split technology could also be utilized to form and manufacture SOI wafers and would be less expensive to manufacture when compared to the current ion-cut methods.
Formation of multiple levels of arrays of transistors or other transistor formations in the structures described herein may be described at least by the terms ‘multilevel device’ or ‘multilevel semiconductor device.’ Memory within the fabric herein may have a read and write access time of less than 100 ns, or less than 10 ns, or less than 5 ns or even less than 2 ns and could support multiple ports.
It will also be appreciated by persons of ordinary skill in the art that the invention is not limited to what has been particularly shown and described hereinabove. For example, drawings or illustrations may not show n or p wells for clarity in illustration. Moreover, transistor channels illustrated or discussed herein may include doped semiconductors, but may instead include undoped semiconductor material. Further, any transferred layer or donor substrate or wafer preparation illustrated or discussed herein may include one or more undoped regions or layers of semiconductor material. Further, transferred layer or layers may have regions of STI or other transistor elements within it or on it when transferred. Rather, the scope of the invention includes combinations and sub-combinations of the various features described hereinabove as well as modifications and variations which would occur to such skilled persons upon reading the foregoing description. Thus the invention is to be limited only by appended claims (if any).
This application incorporates by reference herein the previous related U.S. patent application Ser. No. 14/874,366, 62/252,448, 62/258,433 and 62/269,950 by the same inventors.
Memory architectures include at least two important types—NAND and NOR.
In contrast the NAND architecture illustrated in
Currently the market has made a clear choice, choosing reducing bit cost even if it results in a much longer memory access.
As illustrated in
The architecture referred to by naming as HD-NOR and illustrated herein in reference to
Alternatively thermal oxide could be grown on the P silicon before the step of
An alternative flow is presented using illustrations
When the HD-NOR structure is implemented, for example, on a silicon-on-insulator substrate, the HD-NOR structure could be dual use one providing effectively a universal memory. As illustrated in
In many cases the volatile operation could interfere with the non-volatile operation of the memory cells. So it is common to avoid using them together or in close proximity. A portion of the HD-NOR that is designated to be used as an FB-RAM would be programmed to have all its NV storage cells set to a known state such as all its bits being reset.
There are many use modes for such an enhanced memory, including, splitting the memory bank for volatile and non-volatile portions, power down with saving the volatile information into the non-volatile portion, and sleep mode for power reductions by moving the volatile information into the non-volatile portion.
Additional enhancement to such HD-NOR, is to implement MirrorBit® technology as was made commercial by Spansion for NOR products. And apply such approach to each of the independent O/N/O+ gates surrounding the given channel as is illustrated in
The 8 v indicates a voltage just high enough to drive charge into the charge trap under its control.
The 4 v indicate about half of the 8 v which would access the read operation but would not be high enough to cause charge tunneling through and enabling charged being trapped or de-trapped.
Examining the table of
With this new memory structure a new form of memory enhancement could be applied.
By using the left side gate to pull the charges to the left, the top gate can controllably write bit1 and bit2 and respectively erase them.
By using the right side gate to pull the charges to the right the top gate can controllably write bit3 and bit4 and respectively erase it.
Pushing the side control further we can increase the memory capacity of the top facet to 6 and the cell total to 10, as is illustrated in
By using both the right side gate and the left side gate to push the charges away from the sides and into the middle of the top facet the top gate can controllably write bit3 and bit4 and respectively erase them.
This increase of the top facet bit capacity may be applied in the same for the side facet. To do so the structure needs a bottom gate.
The table of
The control of the bottom gate is relatively straightforward as it may be shared for all cells and it will be activated according the tables in
Another known enhancement technique is to control the amount of charge being trapped in a cell to allow coding of more than 1 bit based on the amount of charge. These different enhancement techniques could be combined to achieve even higher number of bits per cell. Current charge trap memories are known to achieve 3 bits per cell. A white paper titled “MirrorBit® Quad Technology: The First 4-bit-per-cell Flash Memory Spansion™ MirrorBit Quad Technology to Expand Flash Memory Innovation for Electronic Devices” was published by Spansion—www.spansion, Doc. 43704A (September 2006), incorporated herein by reference. The paper shows the use of MirrorBit in which every bit site could be programmed to one of 4 levels representing 2 bits, providing in total 4 bits per cell. Adapting such to the HD-NOR could result with a 54 bits per cell non-volatile memory structure. And the structure could be used to have some of the memory used as fast access FB-RAM for which a self-refresh mode could be added. In addition known techniques such as Probabilistic error correction in multi-bit-per-cell flash memory as described in U.S. Pat. No. 8,966,342, incorporated herein by reference, could be integrated for increased robustness of such memory operations.
A known technique to increase performance is to strengthen the bit-lines and the word-lines with upper metal layer strips running in parallel above these lines and periodically being connected to them. This could be important for large blocks of HD-NOR.
The HD-NOR as presented herein utilized SOI substrates. These substrates are more expensive than bulk substrate. The HD-NOR structure could be used as embedded memory for SoC devices. Having the SOI requirement might limit the use of the HD-NOR, as most of the SOC design are using bulk type silicon. One possible technique to overcome this limitation is to use local SOI on bulk. For example the bulk substrate would be processed with epitaxial of SiGe and then epitaxial of silicon on top of the SiGe. The high selectivity of the SiGe layer to etch in respect to silicon could allow later to sacrifice regions of SiGe and to replace them with isolation regions forming local SOI under the HD-NOR structure. Such technique has been detailed in papers by Kyoung Hwan Yeo et al. titled: “A Partially Insulated Field-Effect Transistor (PiFET) as a Candidate for Scaled Transistors” published at IEEE ELECTRON DEVICE LETTERS, VOL. 25, NO. 6, June 2004, and by Chang Woo Oh et al. in paper titled: “A Hybrid Integration of Ultrathin-Body Partially Insulated MOSFETs and a Bulk MOSFET for Better IC Performance: A Multiple-VTH Technology Using Partial SOI Structure” published at IEEE ELECTRON DEVICE LETTERS, VOL. 31, NO. 1, January 2010, the forgoing incorporated herein by reference. An optional stage to perform the step of replacing the sacrificial layer with isolation could be immediately after etching the unused P regions 2729 as is illustrated in reference to
Another of sacrificial layer could be a porous layer formed by an anodizing process followed by an epitaxial step as was developed by Cannon under the ELTRAN process for the purpose of manufacturing SOI wafers. The porous layer could later be replaced or fully oxidized. The anodizing process for porous formation could be made very selectively by proper doping. U.S. Pat. No. 8,470,689, incorporated herein by reference, teaches such use selectivity for forming a multilayer structure. This concept could be adapted to form the back gate and isolation with very good layer control for the formation of an 18 bits HD-NOR structure.
Another alternative is first to deep implant to form the N type back gate, than light implant the top layer to form minimal N type but high enough to protect it from the anodizing process. Then open holes in the designated locations for cell isolation etch—within regions 2729 as is illustrated in reference to
These could be used to drive the control lines from both sides to improve performance and reduce variability.
In addition it could be used as redundancy so single control unit failure could be recovered.
This architecture could also support additional modes of operation.
The structure could be designed to allow independent access to 8 blocks provided none of them share the Peripherals circuits.
The structure could be designed to support synchronized access to up to 8 units sharing the same row or sharing the same column reducing access power and still provide multiple bits.
The structure could be designed to support on chip transfer from the non-volatile portion to the high speed FB-RAM portion or the other way. Such transfer could be done in parallel to or from 8 blocks reducing time and power for such transfer. Such capabilities could allow high speed access with low power operating mode. So data is transferred to the FB-DRAM designated block for fast access but could be stored back into the NOR NV section for sleep or power down.
The corners Clt, Crt, Clb, Crb could be used for device top level control for these operating modes, to generate the special voltage source required for read and write, and for interface to external devices.
The HD-NOR was previously presented herein on an SOI wafer/substrate. Alternatively it could be constructed on bulk borrowing the isolation concept used in modern FinFET technology. In such bulk implementation it would be challenging to form the bottom gate resulting with the 10 bit per cell option. The optional use mode of Floating Body DRAM would also be more challenging to achieve. Yet by adding under the cell isolation a two state memory of the type developed by Zeno Semiconductor, as disclosed in U.S. Pat. No. 9,030,872, incorporated herein by reference, could be implemented.
Another alternative is to build special SOI-like wafers to support a full 6 bits in the bottom facet. Such special M-SOI wafer could then be used to build the HD-NOR on top and aligned to the backside word lines.
Another alternative is to provide an HD-NOR structure. For example, as illustrated in
An alternative system approach could be to use the custom logic 4265 as the base and to bond the NOR fabric 4202 on top of the logic circuit and etch holes 4208 in the NOR fabric 4202 for the adding of connections to the circuits underneath, as illustrated in
In another alternative instead of the base wafer being an SOI wafer as is illustrated in
As illustrated in
Dry oxidation of the porous silicon may be carried out at a low temperature of about 400° C. This results in oxidization of about 1˜3 nm of the inner walls of the pores, thus preventing the structure of the porous silicon from changing, such as bending or relaxing for example, under a subsequent high-temperature treatment.
Baking may be carried out at about 1000˜1100° C. in a hydrogen atmosphere in a CVD epitaxial reactor. Hydrogen pre-baking causes the pores in the porous silicon surface to close up to the extent that the density of these pores goes down from about 1011/cm2 before to less than 104/cm2, and hence the surface is smoothed. To reduce defects, a pre-injection method could be used whereby a small additional amount of silicon is provided from the gas phase (for example as silane) during the hydrogen pre-baking and surface diffusion is made to occur so that the remaining pores in the surface of the porous silicon close-up.
After the pre-injection, epitaxial growth may be carried out at temperatures of about 900˜1000° C. The epitaxial layer illustrated as epi layer 4320 in
A key advantage of the porous base layer transfer technology is the ability of acquiring a base wafer with ‘cut’ porous structure built-in, run a conventional process including high temperature steps such as doping activation and then later bonds it to a target wafer and then cut.
An alternative fabrication technique is to not use porous base donor wafer but rather use a bulk wafer and form the porous cut layer as part of forming the 2D NOR structure. Specifically, following the step of etching the P regions for channel isolation as illustrated in
Additional alternative is to increase the number of bits per facet by utilizing techniques such as non-uniform channel as presented in a paper by Gu Haiming et al. titled “Novel multi-bit non-uniform channel charge trapping memory device with virtual-source NAND flash array” published in Vol. 31, No. 10 Journal of Semiconductors October 2010, incorporated herein by reference.
Additional alternative is to increase the number of bits per facet by utilizing techniques such as advanced charge trap layer such as one utilizing ambipolar polymer as presented in a paper by Ye Zhou et al. titled “Nonvolatile multilevel data storage memory device from controlled ambipolar charge trapping mechanism” published in SCIENTIFIC REPORTS |3: 2319 | DOI: 10.1038/srep02319, incorporated herein by reference.
Additional alternative is to increase the number of bits per facet by utilizing techniques such as advanced charge trap layer such as one utilizing multilayer silicon nanocrystal as presented by T. Z. Lu et al. in a paper titled “Multilevel Charge Storage in Silicon nanocrystal Multilayers” published in Appl. Phys. Lett. 87, 202110 (2005), incorporated herein by reference.
Additional alternative is to increase the number of bits per facet by utilizing techniques such as advanced charge trap layer such as one utilizing multi-layered Ge/Si nanocrystals as presented by Guangli WANG et al. in a paper titled “Charge trapping memory devices employing multi-layered Ge/Si nanocrystals for storage fabricated with ALD and PLD methods” published in Front. Optoelectron. China 2011, 4(2): 146-149, incorporated herein by reference.
For one skilled in the art, other variations or alternatives known for charge trap memory with the required corresponding enhancements to the channel or to the charge trap—O/N/O layers may be employed.
Engineering the memory peripheral circuits for the memory matrix including the circuits to generate the required signals for the memory control lines and the sense circuits to sense the memory content is a well-practiced memory engineering task. The memory structure presented herein adds some less common variations as a word-line controlling a gate may be function as a R-Gate or as C-Gate or as L-Gate depend on the specific channel presently in action. In the following we review the high level architecture for such a memory control circuit.
The following discussion would be for a specific one of the many alternative architecture options—of an 8 bit per facet as illustrated in
As an alternative the gate control lines of the cells adjacent to a channel which is being written to or read from could be biased to a negative voltage such as −4 v to disable these adjacent channels. For example, if in reference to
The reference signal generator 4918 provides the required signals to operate the read write operations. All the voltages suggested herein are suggested voltages for some conceptual NOR. These signal levels could be adjusted for specific designs based on the choice of materials, process flow, layer thicknesses, and feature sizes.
Another known enhancement technique is to control the amount of charge being trapped in a cell to allow coding of more than 1 bit base on the amount of charge. These different enhancement techniques could be combined to achieve a higher number of bits per cell. Current charge trap memories are known to achieve 3 bits or 8 levels per cell. A white paper titled “MirrorBit® Quad Technology: The First 4-bit-per-cell Flash Memory Spansion™ MirrorBit Quad Technology to Expand Flash Memory Innovation for Electronic Devices” was published by Spansion—www.spansion, Doc. 43704A (September 2006), incorporated herein by reference. The paper shows the use of MirrorBit in which every bit site could be program to one of 4 levels representing 2 bits, providing in total 4 bits per cell. Adapting such to the HD-NOR could result, if we use 4 levels per location, with 2×32=64 bits per cell, and with 8 levels per location, with 3×32=96 bits per cell of non-volatile memory structure. And the same structure could be used to have some of the memory used as fast access FB-RAM for which a self-refresh mode could be added. In addition known techniques such as Probabilistic error correction in multi-bit-per-cell flash memory as described in U.S. Pat. No. 8,966,342, incorporated herein by reference, could be integrated for increased robustness of such memory operations.
In general memory design it is common to use partitioning which utilizes powers of 2, such as: 2, 4, 8, 16, 32, 64, . . . . Such work well with decoding and addressing. Yet,
The three gate control of the charge trap layers of 3D-NOR as illustrated in
This distributed form of storage could help reduce the sensitivity to local defect and increase the overall memory capacity.
For this distributed memory storage technique the Orthonormal basis signal processing techniques of linear algebra could be deployed. Quoting: Orthonormal Basis: A subset {v1, . . . , vk} of a vector space V, with the inner product , is called orthonormal if vi, vj=0 when i≠j. That is, the vectors are mutually perpendicular. Moreover, they are all required to have length one: vi, vi=1.
There many such basis and in signal processing it has been extensively studied in the art. A subset of these are called wavelets has been described in an article by G. BEYLKIN titled: “ON THE REPRESENTATION OF OPERATORS IN BASES OF COMPACTLY SUPPORTED WAVELETS” published SIAM J. NUMER. ANAL. c 1992 Society for Industrial and Applied Mathematics Vol. 6, No. 6, pp. 1716-1740, December 1992 011, incorporated herein by reference.
With Orthonormal set of vectors every ‘bit site’ could be represented by one of these vectors. So for n bits we would have n vectors. Writing a bit would be like adding a vector to the charge trap surface by scanning along the channel and modulating the amount stored according to the vector. Reading would be the inverse which could be the effect of multiplying the stored values by the reading vector. Accordingly if the vector was stored the value of the reading would be ‘1’ and if it was not than it would be ‘0’. The vector itself could be multiply by a scalar which would represent a multilevel per vector.
Additional information on wavelets and related decomposition and reconstruction algorithms may be found in “Fundamentals of Wavelets Theory, Algorithms, and Applications,” Goswami, J., C., et al., 2nd Ed., J Wiley & Sons, 2010, especially chapters 6 and 7, the entire book is incorporated herein by reference. Orthonormal wavelets such as, for example, of Shannon (sine radians sampling), Meyer (smoothing of Shannon), Battle-Lemarié, and Daubechics may be utilized depending on engineering choices and optimizations. Biorthogonal wavelets, for example, of Cohen, Daubechies, and Feaveau, may be useful depending on engineering choices and optimizations. Moreover, additional information on wavelets may be found in B. Vidakovic, et al., “Wavelets for Kids, A Tutorial Introduction,” 1994 Duke University, incorporated herein by reference.
For the read additional circuits could be added for the S/D line with integrating analog to digital converter. Such structures could support multiple signal processing techniques to allow flexibility between storage density, access speed and device yield.
The memory HD-NOR memory fabric could be used to empower SoC products by providing high density NV memory and high speed DRAM memory fabric underneath the logic SoC circuits as presented in respect to
The O/N/O stacks within the HD-NOR fabric could be designed independently; for example, the facet(s) related to the top gates and the facet(s) related to the side gates could be different in many ways. An ONO stack could include the same materials with different thicknesses or different materials. Some of such alternative O/N/O stack materials have been presented in a paper by Chun Zhao titled “Review on Non-Volatile Memory with High-k Dielectrics Flash for Generation Beyond 32 nm” published at Materials 2014, 7, 5117-5145; doi:10.3390/ma7075117, incorporated herein by reference. An O/N/O stack could include band gap engineering for better performance. Such band gap engineering has been described in papers such as by Dong Hua Li et al titled “Effects of Equivalent Oxide Thickness on Bandgap-Engineered SONOS Flash Memory” published at 2009 IEEE Nanotechnology Materials and Devices Conference Jun. 2-5, 2009, and by Hang-Ting Luc et al titled “BE-SONOS: A Bandgap Engineered SONOS with Excellent Performance and Reliability” published at IEDM 2005. And in patents such as U.S. Pat. Nos. 7,414,889, 7,512,016 and 7,839,696, all the forgoing references are incorporated herein by reference.
In the NOR architectures such as illustrated in
One such application could be a 3D IC system. In U.S. Pat. No. 7,960,242, incorporated herein by reference, in respect to FIG. 80 and related text and figures, a connectivity scheme has been presented to allow fine vertical connectivity while having misalignment between strata. By properly opening a via after wafer bonding and taking into account the strata misalignment. Such technique required a via process after wafer bonding and space compatible with the worst case potential misalignment in at least one direction. Using the programmable ILV fabric could enable a fine vertical connectivity without those limitations. This is illustrated in
The bonding of the programmable ILV on top of the lower stratum could use well-known in the art hybrid bonding techniques which combines oxide to oxide bonding together with metal to metal bonding so the bonding process would also form the connection between the ILV and the strips 5502, 5504.
Logic fabrics that are customized or programmed by lithography defined via or anti-fused via are well known in the industry, such as been presented by U.S. Pat. Nos. 4,197,555, 6,331,733, 6,580,289 or 8,384,426 all are incorporated herein by reference. These teach programming logic cells and then programming interconnection fabric. U.S. Pat. No. 4,197,555 as related to
In a paper by Zvi Or-Bach et al titled “Modified ELTRAN®—A Game Changer for Monolithic 3D” published at IEEE S3S Conference 2015, incorporated herein by reference, techniques to construct a multi strata device were presented.
Substantially the entire structure could now be flipped and bonded onto a final carrier. And connections between the circuit fabric 5604 and the programmable connectivity fabric 5606, 5608, 5610, 5612 could be made in addition to interconnection to form the designed circuits using the 5604 stratum.
The structure of this NOR could be modified by changing the gate stack to construct a 3D-DRAM using the floating body technique. The Floating body of the 3D-DRAM or of the NOR Universal memory could be refreshed using the self-refresh described herein.
As a general note we described herein a memory structure and variations. There are many ways to form other variations of these structures that would be obvious to an artisan in the semiconductor memory domain to form by the presented elements described herein. These may include exchanging n type with p type and vice versa, increase density by sharing control lines, silicidation of some silicon control lines, improve speed and reduce variation by strengthening bit-lines and word-line with upper layer parallel running and periodically connected metal lines.
It will also be appreciated by persons of ordinary skill in the art that the invention is not limited to what has been particularly shown and described hereinabove. For example, drawings or illustrations may not show n or p wells for clarity in illustration. Moreover, transistor channels illustrated or discussed herein may include doped semiconductors, but may instead include undoped semiconductor material. The material used could be silicon or other alternative materials effective for semiconductor devices. Rather, the scope of the invention includes combinations and sub-combinations of the various features described hereinabove as well as modifications and variations which would occur to such skilled persons upon reading the foregoing description. Thus the invention is to be limited only by any appended claims.
Number | Name | Date | Kind |
---|---|---|---|
3007090 | Rutz | Oct 1961 | A |
3819959 | Chang et al. | Jun 1974 | A |
4009483 | Clark | Feb 1977 | A |
4197555 | Uehara et al. | Apr 1980 | A |
4213139 | Rao et al. | Jul 1980 | A |
4400715 | Barbee et al. | Aug 1983 | A |
4487635 | Kugimiya et al. | Dec 1984 | A |
4510670 | Schwabe | Apr 1985 | A |
4522657 | Rohatgi et al. | Jun 1985 | A |
4612083 | Yasumoto et al. | Sep 1986 | A |
4643950 | Ogura et al. | Feb 1987 | A |
4704785 | Curran | Nov 1987 | A |
4711858 | Harder et al. | Dec 1987 | A |
4721885 | Brodie | Jan 1988 | A |
4732312 | Kennedy et al. | Mar 1988 | A |
4733288 | Sato | Mar 1988 | A |
4829018 | Wahlstrom | May 1989 | A |
4854986 | Raby | Aug 1989 | A |
4866304 | Yu | Sep 1989 | A |
4939568 | Kato et al. | Jul 1990 | A |
4956307 | Pollack et al. | Sep 1990 | A |
5012153 | Atkinson et al. | Apr 1991 | A |
5032007 | Silverstein et al. | Jul 1991 | A |
5047979 | Leung | Sep 1991 | A |
5087585 | Hayashi | Feb 1992 | A |
5093704 | Sato et al. | Mar 1992 | A |
5106775 | Kaga et al. | Apr 1992 | A |
5152857 | Ito et al. | Oct 1992 | A |
5162879 | Gill | Nov 1992 | A |
5189500 | Kusunoki | Feb 1993 | A |
5217916 | Anderson et al. | Jun 1993 | A |
5250460 | Yamagata et al. | Oct 1993 | A |
5258643 | Cohen | Nov 1993 | A |
5265047 | Leung et al. | Nov 1993 | A |
5266511 | Takao | Nov 1993 | A |
5277748 | Sakaguchi et al. | Jan 1994 | A |
5286670 | Kang et al. | Feb 1994 | A |
5294556 | Kawamura | Mar 1994 | A |
5308782 | Mazure et al. | May 1994 | A |
5312771 | Yonehara | May 1994 | A |
5317236 | Zavracky et al. | May 1994 | A |
5324980 | Kusunoki | Jun 1994 | A |
5355022 | Sugahara et al. | Oct 1994 | A |
5371037 | Yonehara | Dec 1994 | A |
5374564 | Bruel | Dec 1994 | A |
5374581 | Ichikawa et al. | Dec 1994 | A |
5424560 | Norman et al. | Jun 1995 | A |
5475280 | Jones et al. | Dec 1995 | A |
5478762 | Chao | Dec 1995 | A |
5485031 | Zhang et al. | Jan 1996 | A |
5498978 | Takahashi et al. | Mar 1996 | A |
5527423 | Neville et al. | Jun 1996 | A |
5535342 | Taylor | Jul 1996 | A |
5554870 | Fitch et al. | Sep 1996 | A |
5563084 | Ramm et al. | Oct 1996 | A |
5583349 | Norman et al. | Dec 1996 | A |
5583350 | Norman et al. | Dec 1996 | A |
5586291 | Lasker | Dec 1996 | A |
5594563 | Larson | Jan 1997 | A |
5604137 | Yamazaki et al. | Feb 1997 | A |
5617991 | Pramanick et al. | Apr 1997 | A |
5627106 | Hsu | May 1997 | A |
5656548 | Zavracky et al. | Aug 1997 | A |
5656553 | Leas et al. | Aug 1997 | A |
5659194 | Iwamatsu | Aug 1997 | A |
5670411 | Yonehara | Sep 1997 | A |
5681756 | Norman et al. | Oct 1997 | A |
5695557 | Yamagata et al. | Dec 1997 | A |
5701027 | Gordon et al. | Dec 1997 | A |
5707745 | Forrest et al. | Jan 1998 | A |
5714395 | Bruel | Feb 1998 | A |
5721160 | Forrest et al. | Feb 1998 | A |
5737748 | Shigeeda | Apr 1998 | A |
5739552 | Kimura et al. | Apr 1998 | A |
5744979 | Goetting | Apr 1998 | A |
5748161 | Lebby et al. | May 1998 | A |
5757026 | Forrest et al. | May 1998 | A |
5770483 | Kadosh | Jun 1998 | A |
5770881 | Pelella et al. | Jun 1998 | A |
5781031 | Bertin et al. | Jul 1998 | A |
5817574 | Gardner | Oct 1998 | A |
5829026 | Leung et al. | Oct 1998 | A |
5835396 | Zhang | Nov 1998 | A |
5854123 | Sato et al. | Dec 1998 | A |
5861929 | Spitzer | Jan 1999 | A |
5877034 | Ramm | Mar 1999 | A |
5877070 | Goesele et al. | Mar 1999 | A |
5882987 | Srikrishnan | Mar 1999 | A |
5883525 | Tavana et al. | Mar 1999 | A |
5889903 | Rao | Mar 1999 | A |
5893721 | Huang et al. | Apr 1999 | A |
5915167 | Leedy | Jun 1999 | A |
5920788 | Reinberg | Jul 1999 | A |
5937312 | Iyer et al. | Aug 1999 | A |
5943574 | Tehrani et al. | Aug 1999 | A |
5952680 | Strite | Sep 1999 | A |
5952681 | Chen | Sep 1999 | A |
5965875 | Merrill | Oct 1999 | A |
5977579 | Noble | Nov 1999 | A |
5977961 | Rindal | Nov 1999 | A |
5980633 | Yamagata et al. | Nov 1999 | A |
5985742 | Henley et al. | Nov 1999 | A |
5994746 | Reisinger | Nov 1999 | A |
5998808 | Matsushita | Dec 1999 | A |
6001693 | Yeouchung et al. | Dec 1999 | A |
6009496 | Tsai | Dec 1999 | A |
6020252 | Aspar et al. | Feb 2000 | A |
6020263 | Shih et al. | Feb 2000 | A |
6027958 | Vu et al. | Feb 2000 | A |
6030700 | Forrest et al. | Feb 2000 | A |
6052498 | Paniccia | Apr 2000 | A |
6054370 | Doyle | Apr 2000 | A |
6057212 | Chan et al. | May 2000 | A |
6071795 | Cheung et al. | Jun 2000 | A |
6075268 | Gardner et al. | Jun 2000 | A |
6103597 | Aspar et al. | Aug 2000 | A |
6111260 | Dawson et al. | Aug 2000 | A |
6125217 | Paniccia et al. | Sep 2000 | A |
6153495 | Kub et al. | Nov 2000 | A |
6191007 | Matsui et al. | Feb 2001 | B1 |
6200878 | Yamagata | Mar 2001 | B1 |
6222203 | Ishibashi et al. | Apr 2001 | B1 |
6226197 | Nishimura | May 2001 | B1 |
6229161 | Nemati et al. | May 2001 | B1 |
6242324 | Kub et al. | Jun 2001 | B1 |
6242778 | Marmillion et al. | Jun 2001 | B1 |
6252465 | Katoh | Jun 2001 | B1 |
6259623 | Takahashi | Jul 2001 | B1 |
6261935 | See et al. | Jul 2001 | B1 |
6264805 | Forrest et al. | Jul 2001 | B1 |
6281102 | Cao et al. | Aug 2001 | B1 |
6294018 | Hamm et al. | Sep 2001 | B1 |
6306705 | Parekh et al. | Oct 2001 | B1 |
6321134 | Henley et al. | Nov 2001 | B1 |
6322903 | Siniaguine et al. | Nov 2001 | B1 |
6331468 | Aronowitz et al. | Dec 2001 | B1 |
6331790 | Or-Bach et al. | Dec 2001 | B1 |
6331943 | Naji et al. | Dec 2001 | B1 |
6353492 | McClelland et al. | Mar 2002 | B2 |
6355501 | Fung et al. | Mar 2002 | B1 |
6355976 | Faris | Mar 2002 | B1 |
6358631 | Forrest et al. | Mar 2002 | B1 |
6365270 | Forrest et al. | Apr 2002 | B2 |
6376337 | Wang et al. | Apr 2002 | B1 |
6377504 | Hilbert | Apr 2002 | B1 |
6380046 | Yamazaki | Apr 2002 | B1 |
6392253 | Saxena | May 2002 | B1 |
6404043 | Isaak | Jun 2002 | B1 |
6417108 | Akino et al. | Jul 2002 | B1 |
6420215 | Knall et al. | Jul 2002 | B1 |
6423614 | Doyle | Jul 2002 | B1 |
6429481 | Mo et al. | Aug 2002 | B1 |
6429484 | Yu | Aug 2002 | B1 |
6430734 | Zahar | Aug 2002 | B1 |
6448615 | Forbes | Sep 2002 | B1 |
6475869 | Yu | Nov 2002 | B1 |
6476493 | Or-Bach et al. | Nov 2002 | B2 |
6479821 | Hawryluk et al. | Nov 2002 | B1 |
6483707 | Freuler et al. | Nov 2002 | B1 |
6507115 | Hofstee | Jan 2003 | B2 |
6515334 | Yamazaki et al. | Feb 2003 | B2 |
6515511 | Sugibayashi et al. | Feb 2003 | B2 |
6526559 | Schiefele et al. | Feb 2003 | B2 |
6528391 | Henley et al. | Mar 2003 | B1 |
6534352 | Kim | Mar 2003 | B1 |
6534382 | Sakaguchi et al. | Mar 2003 | B1 |
6544837 | Divakauni et al. | Apr 2003 | B1 |
6545314 | Forbes et al. | Apr 2003 | B2 |
6555901 | Yoshihara et al. | Apr 2003 | B1 |
6563139 | Hen | May 2003 | B2 |
6580124 | Cleeves | Jun 2003 | B1 |
6580289 | Cox | Jun 2003 | B2 |
6600173 | Tiwari | Jul 2003 | B2 |
6617694 | Kodaira et al. | Sep 2003 | B2 |
6620659 | Emmma et al. | Sep 2003 | B2 |
6624046 | Zavracky et al. | Sep 2003 | B1 |
6627518 | Inoue et al. | Sep 2003 | B1 |
6627985 | Huppenthal et al. | Sep 2003 | B2 |
6630713 | Geusic | Oct 2003 | B2 |
6635552 | Gonzalez | Oct 2003 | B1 |
6635588 | Hawryluk et al. | Oct 2003 | B1 |
6638834 | Gonzalez | Oct 2003 | B2 |
6642744 | Or-Bach et al. | Nov 2003 | B2 |
6653209 | Yamagata | Nov 2003 | B1 |
6653712 | Knall et al. | Nov 2003 | B2 |
6661085 | Kellar et al. | Dec 2003 | B2 |
6677204 | Cleeves et al. | Jan 2004 | B2 |
6686253 | Or-Bach | Feb 2004 | B2 |
6689660 | Noble | Feb 2004 | B1 |
6701071 | Wada et al. | Mar 2004 | B2 |
6703328 | Tanaka et al. | Mar 2004 | B2 |
6756633 | Wang et al. | Jun 2004 | B2 |
6756811 | Or-Bach | Jun 2004 | B2 |
6759282 | Campbell et al. | Jul 2004 | B2 |
6762076 | Kim et al. | Jul 2004 | B2 |
6774010 | Chu et al. | Aug 2004 | B2 |
6805979 | Ogura et al. | Oct 2004 | B2 |
6806171 | Ulyashin et al. | Oct 2004 | B1 |
6809009 | Aspar et al. | Oct 2004 | B2 |
6815781 | Vyvoda et al. | Nov 2004 | B2 |
6819136 | Or-Bach | Nov 2004 | B2 |
6821826 | Chan et al. | Nov 2004 | B1 |
6841813 | Walker et al. | Jan 2005 | B2 |
6844243 | Gonzalez | Jan 2005 | B1 |
6864534 | Ipposhi et al. | Mar 2005 | B2 |
6875671 | Faris | Apr 2005 | B2 |
6882572 | Wang et al. | Apr 2005 | B2 |
6888375 | Feng et al. | May 2005 | B2 |
6917219 | New | Jul 2005 | B2 |
6927431 | Gonzalez | Aug 2005 | B2 |
6930511 | Or-Bach | Aug 2005 | B2 |
6943067 | Greenlaw | Sep 2005 | B2 |
6943407 | Ouyang et al. | Sep 2005 | B2 |
6949421 | Padmanabhan et al. | Sep 2005 | B1 |
6953956 | Or-Bach et al. | Oct 2005 | B2 |
6967149 | Meyer et al. | Nov 2005 | B2 |
6985012 | Or-Bach | Jan 2006 | B2 |
6989687 | Or-Bach | Jan 2006 | B2 |
6995430 | Langdo et al. | Feb 2006 | B2 |
6995456 | Nowak | Feb 2006 | B2 |
7015719 | Feng et al. | Mar 2006 | B1 |
7016569 | Mule et al. | Mar 2006 | B2 |
7018875 | Madurawe | Mar 2006 | B2 |
7019557 | Madurawe | Mar 2006 | B2 |
7043106 | West et al. | May 2006 | B2 |
7052941 | Lee | May 2006 | B2 |
7064579 | Madurawe | Jun 2006 | B2 |
7067396 | Aspar et al. | Jun 2006 | B2 |
7067909 | Reif et al. | Jun 2006 | B2 |
7068070 | Or-Bach | Jun 2006 | B2 |
7068072 | New et al. | Jun 2006 | B2 |
7078739 | Nemati et al. | Jul 2006 | B1 |
7094667 | Bower | Aug 2006 | B1 |
7098691 | Or-Bach et al. | Aug 2006 | B2 |
7105390 | Brask et al. | Sep 2006 | B2 |
7105871 | Or-Bach et al. | Sep 2006 | B2 |
7109092 | Tong | Sep 2006 | B2 |
7110629 | Bjorkman et al. | Sep 2006 | B2 |
7111149 | Eilert | Sep 2006 | B2 |
7112815 | Prall | Sep 2006 | B2 |
7115945 | Lee et al. | Oct 2006 | B2 |
7115966 | Ido et al. | Oct 2006 | B2 |
7141853 | Campbell et al. | Nov 2006 | B2 |
7148119 | Sakaguchi et al. | Dec 2006 | B1 |
7157787 | Kim et al. | Jan 2007 | B2 |
7157937 | Apostol et al. | Jan 2007 | B2 |
7166520 | Henley | Jan 2007 | B1 |
7170807 | Fazan et al. | Jan 2007 | B2 |
7173369 | Forrest et al. | Feb 2007 | B2 |
7180091 | Yamazaki et al. | Feb 2007 | B2 |
7180379 | Hopper et al. | Feb 2007 | B1 |
7183611 | Bhattacharyya | Feb 2007 | B2 |
7189489 | Kunimoto et al. | Mar 2007 | B2 |
7205204 | Ogawa et al. | Apr 2007 | B2 |
7209384 | Kim | Apr 2007 | B1 |
7217636 | Atanackovic | May 2007 | B1 |
7223612 | Sarma | May 2007 | B2 |
7242012 | Leedy | Jul 2007 | B2 |
7245002 | Akino et al. | Jul 2007 | B2 |
7256104 | Ito et al. | Aug 2007 | B2 |
7259091 | Schuehrer et al. | Aug 2007 | B2 |
7265421 | Madurawe | Sep 2007 | B2 |
7271420 | Cao | Sep 2007 | B2 |
7274207 | Sugawara et al. | Sep 2007 | B2 |
7282951 | Huppenthal et al. | Oct 2007 | B2 |
7284226 | Kondapalli | Oct 2007 | B1 |
7296201 | Abramovici | Nov 2007 | B2 |
7304355 | Zhang | Dec 2007 | B2 |
7312109 | Madurawe | Dec 2007 | B2 |
7312487 | Alam et al. | Dec 2007 | B2 |
7314788 | Shaw | Jan 2008 | B2 |
7335573 | Takayama et al. | Feb 2008 | B2 |
7337425 | Kirk | Feb 2008 | B2 |
7338884 | Shimoto et al. | Mar 2008 | B2 |
7342415 | Teig et al. | Mar 2008 | B2 |
7351644 | Henley | Apr 2008 | B2 |
7358601 | Plants et al. | Apr 2008 | B1 |
7362133 | Madurawe | Apr 2008 | B2 |
7369435 | Forbes | May 2008 | B2 |
7371660 | Henley et al. | May 2008 | B2 |
7378702 | Lee | May 2008 | B2 |
7381989 | Kim | Jun 2008 | B2 |
7385283 | Wu | Jun 2008 | B2 |
7393722 | Issaq et al. | Jul 2008 | B1 |
7402483 | Yu et al. | Jul 2008 | B2 |
7402897 | Leedy | Jul 2008 | B2 |
7419844 | Lee et al. | Sep 2008 | B2 |
7432185 | Kim | Oct 2008 | B2 |
7436027 | Ogawa et al. | Oct 2008 | B2 |
7439773 | Or-Bach et al. | Oct 2008 | B2 |
7446563 | Madurawe | Nov 2008 | B2 |
7459752 | Doris et al. | Dec 2008 | B2 |
7459763 | Issaq et al. | Dec 2008 | B1 |
7459772 | Speers | Dec 2008 | B2 |
7463062 | Or-Bach et al. | Dec 2008 | B2 |
7463502 | Stipe | Dec 2008 | B2 |
7470142 | Lee | Dec 2008 | B2 |
7470598 | Lee | Dec 2008 | B2 |
7476939 | Okhonin et al. | Jan 2009 | B2 |
7477540 | Okhonin et al. | Jan 2009 | B2 |
7485968 | Enquist et al. | Feb 2009 | B2 |
7486563 | Waller et al. | Feb 2009 | B2 |
7488980 | Takafuji et al. | Feb 2009 | B2 |
7492632 | Carman | Feb 2009 | B2 |
7495473 | McCollum et al. | Feb 2009 | B2 |
7498675 | Farnworth et al. | Mar 2009 | B2 |
7499352 | Singh | Mar 2009 | B2 |
7499358 | Bauser | Mar 2009 | B2 |
7508034 | Takafuji et al. | Mar 2009 | B2 |
7514748 | Fazan et al. | Apr 2009 | B2 |
7521806 | Trezza | Apr 2009 | B2 |
7525186 | Kim et al. | Apr 2009 | B2 |
7535089 | Fitzgerald | May 2009 | B2 |
7541616 | Fazan et al. | Jun 2009 | B2 |
7547589 | Iriguchi | Jun 2009 | B2 |
7553745 | Lim | Jun 2009 | B2 |
7557367 | Rogers et al. | Jul 2009 | B2 |
7558141 | Katsumata et al. | Jul 2009 | B2 |
7563659 | Kwon et al. | Jul 2009 | B2 |
7566855 | Olsen et al. | Jul 2009 | B2 |
7566974 | Konevecki | Jul 2009 | B2 |
7586778 | Ho et al. | Sep 2009 | B2 |
7589375 | Jang et al. | Sep 2009 | B2 |
7608848 | Ho et al. | Oct 2009 | B2 |
7612411 | Walker | Nov 2009 | B2 |
7615462 | Kim et al. | Nov 2009 | B2 |
7622367 | Nuzzo et al. | Nov 2009 | B1 |
7632738 | Lee | Dec 2009 | B2 |
7633162 | Lee | Dec 2009 | B2 |
7666723 | Frank et al. | Feb 2010 | B2 |
7670912 | Yeo | Mar 2010 | B2 |
7671371 | Lee | Mar 2010 | B2 |
7671460 | Lauxtermann et al. | Mar 2010 | B2 |
7674687 | Henley | Mar 2010 | B2 |
7687372 | Jain | Mar 2010 | B2 |
7687872 | Cazaux | Mar 2010 | B2 |
7688619 | Lung et al. | Mar 2010 | B2 |
7692202 | Bensch | Apr 2010 | B2 |
7692448 | Solomon | Apr 2010 | B2 |
7692944 | Bernstein et al. | Apr 2010 | B2 |
7697316 | Lai et al. | Apr 2010 | B2 |
7709932 | Nemoto et al. | May 2010 | B2 |
7718508 | Lee | May 2010 | B2 |
7719876 | Chevallier | May 2010 | B2 |
7723207 | Alam et al. | May 2010 | B2 |
7728326 | Yamazaki et al. | Jun 2010 | B2 |
7732301 | Pinnington et al. | Jun 2010 | B1 |
7741673 | Tak et al. | Jun 2010 | B2 |
7742331 | Watanabe | Jun 2010 | B2 |
7745250 | Han | Jun 2010 | B2 |
7749884 | Mathew et al. | Jul 2010 | B2 |
7750669 | Spangaro | Jul 2010 | B2 |
7755622 | Yvon | Jul 2010 | B2 |
7759043 | Tanabe et al. | Jul 2010 | B2 |
7768115 | Lee et al. | Aug 2010 | B2 |
7772039 | Kerber | Aug 2010 | B2 |
7772096 | DeSouza et al. | Aug 2010 | B2 |
7774735 | Sood | Aug 2010 | B1 |
7776715 | Wells et al. | Aug 2010 | B2 |
7777330 | Pelley et al. | Aug 2010 | B2 |
7786460 | Lung et al. | Aug 2010 | B2 |
7786535 | Abou-Khalil et al. | Aug 2010 | B2 |
7790524 | Abadeer et al. | Sep 2010 | B2 |
7795619 | Hara | Sep 2010 | B2 |
7799675 | Lee | Sep 2010 | B2 |
7800099 | Yamazaki et al. | Sep 2010 | B2 |
7800148 | Lee et al. | Sep 2010 | B2 |
7800163 | Izumi et al. | Sep 2010 | B2 |
7800199 | Oh et al. | Sep 2010 | B2 |
7816721 | Yamazaki | Oct 2010 | B2 |
7843718 | Koh et al. | Nov 2010 | B2 |
7846814 | Lee | Dec 2010 | B2 |
7863095 | Sasaki et al. | Jan 2011 | B2 |
7864568 | Fujisaki et al. | Jan 2011 | B2 |
7867822 | Lee | Jan 2011 | B2 |
7888764 | Lee | Feb 2011 | B2 |
7910432 | Tanaka et al. | Mar 2011 | B2 |
7915164 | Konevecki et al. | Mar 2011 | B2 |
7919845 | Karp | Apr 2011 | B2 |
7965102 | Bauer et al. | Jun 2011 | B1 |
7968965 | Kim | Jun 2011 | B2 |
7969193 | Wu et al. | Jun 2011 | B1 |
7973314 | Yang | Jul 2011 | B2 |
7982250 | Yamazaki et al. | Jul 2011 | B2 |
7983065 | Samachisa | Jul 2011 | B2 |
8008732 | Kiyotoshi | Aug 2011 | B2 |
8013399 | Thomas et al. | Sep 2011 | B2 |
8014166 | Yazdani | Sep 2011 | B2 |
8014195 | Okhonin et al. | Sep 2011 | B2 |
8022493 | Bang | Sep 2011 | B2 |
8030780 | Kirby et al. | Oct 2011 | B2 |
8031544 | Kim et al. | Oct 2011 | B2 |
8032857 | McIlrath | Oct 2011 | B2 |
8044448 | Kamigaichi et al. | Oct 2011 | B2 |
8044464 | Yamazaki et al. | Oct 2011 | B2 |
8068364 | Maejima | Nov 2011 | B2 |
8106520 | Keeth et al. | Jan 2012 | B2 |
8107276 | Breitwisch et al. | Jan 2012 | B2 |
8129256 | Farooq et al. | Mar 2012 | B2 |
8129258 | Hosier et al. | Mar 2012 | B2 |
8130547 | Widjaja et al. | Mar 2012 | B2 |
8136071 | Solomon | Mar 2012 | B2 |
8138502 | Nakamura et al. | Mar 2012 | B2 |
8153520 | Chandrashekar | Apr 2012 | B1 |
8158515 | Farooq et al. | Apr 2012 | B2 |
8178919 | Fujiwara et al. | May 2012 | B2 |
8183630 | Batude et al. | May 2012 | B2 |
8184463 | Saen et al. | May 2012 | B2 |
8185685 | Selinger | May 2012 | B2 |
8203187 | Lung et al. | Jun 2012 | B2 |
8208279 | Lue | Jun 2012 | B2 |
8209649 | McIlrath | Jun 2012 | B2 |
8228684 | Losavio et al. | Jul 2012 | B2 |
8266560 | McIlrath | Aug 2012 | B2 |
8264065 | Su et al. | Sep 2012 | B2 |
8288816 | Komori et al. | Oct 2012 | B2 |
8294199 | Yahashi et al. | Oct 2012 | B2 |
8324680 | Izumi et al. | Dec 2012 | B2 |
8338882 | Tanaka et al. | Dec 2012 | B2 |
8343851 | Kim et al. | Jan 2013 | B2 |
8354308 | Kang et al. | Jan 2013 | B2 |
8355273 | Liu | Jan 2013 | B2 |
8374033 | Kito et al. | Feb 2013 | B2 |
8426294 | Lung et al. | Apr 2013 | B2 |
8432719 | Lue | Apr 2013 | B2 |
8432751 | Hafez | Apr 2013 | B2 |
8455941 | Ishihara et al. | Jun 2013 | B2 |
8470689 | Desplobain et al. | Jun 2013 | B2 |
8497512 | Nakamura et al. | Jul 2013 | B2 |
8501564 | Suzawa | Aug 2013 | B2 |
8507972 | Oota et al. | Aug 2013 | B2 |
8508994 | Okhonin | Aug 2013 | B2 |
8513725 | Sakuma et al. | Aug 2013 | B2 |
8514623 | Widjaja et al. | Aug 2013 | B2 |
8516408 | Dell | Aug 2013 | B2 |
8566762 | Morimoto et al. | Aug 2013 | B2 |
8525342 | Chandrasekaran | Oct 2013 | B2 |
8546956 | Nguyen | Oct 2013 | B2 |
8603888 | Liu | Dec 2013 | B2 |
8611388 | Krasulick et al. | Dec 2013 | B2 |
8619490 | Yu | Dec 2013 | B2 |
8630326 | Krasulick et al. | Jan 2014 | B2 |
8643162 | Madurawe | Feb 2014 | B2 |
8650516 | McIlrath | Feb 2014 | B2 |
8654584 | Kim et al. | Feb 2014 | B2 |
8679861 | Bose | Mar 2014 | B2 |
8736068 | Bartley et al. | May 2014 | B2 |
8773562 | Fan | Jul 2014 | B1 |
8775998 | Morimoto | Jul 2014 | B2 |
8824183 | Samachisa et al. | Sep 2014 | B2 |
8841777 | Farooq | Sep 2014 | B2 |
8853785 | Augendre | Oct 2014 | B2 |
8896054 | Sakuma et al. | Nov 2014 | B2 |
8928119 | Leedy | Jan 2015 | B2 |
8971114 | Kang | Mar 2015 | B2 |
9105689 | Fanelli | Aug 2015 | B1 |
9172008 | Hwang | Oct 2015 | B2 |
9227456 | Chien | Jan 2016 | B2 |
9230973 | Pachamuthu et al. | Jan 2016 | B2 |
9269608 | Fanelli | Feb 2016 | B2 |
9334582 | See | May 2016 | B2 |
9391090 | Manorotkul et al. | Jul 2016 | B2 |
9472568 | Shin et al. | Oct 2016 | B2 |
9564450 | Sakuma et al. | Feb 2017 | B2 |
9570683 | Jo | Feb 2017 | B1 |
9589982 | Cheng et al. | Mar 2017 | B1 |
9595530 | Zhou | Mar 2017 | B1 |
9627287 | Engelhardt et al. | Apr 2017 | B2 |
9673257 | Takaki | Jun 2017 | B1 |
9997530 | Yon et al. | Jun 2018 | B2 |
10199354 | Modi et al. | Feb 2019 | B2 |
20010000005 | Forrest et al. | Mar 2001 | A1 |
20010014391 | Forrest et al. | Aug 2001 | A1 |
20010028059 | Emma et al. | Oct 2001 | A1 |
20020024140 | Nakajima et al. | Feb 2002 | A1 |
20020025604 | Tiwari | Feb 2002 | A1 |
20020074668 | Hofstee et al. | Jun 2002 | A1 |
20020081823 | Cheung et al. | Jun 2002 | A1 |
20020090758 | Henley et al. | Jul 2002 | A1 |
20020096681 | Yamazaki et al. | Jul 2002 | A1 |
20020113289 | Cordes et al. | Aug 2002 | A1 |
20020132465 | Leedy | Sep 2002 | A1 |
20020140091 | Callahan | Oct 2002 | A1 |
20020141233 | Hosotani et al. | Oct 2002 | A1 |
20020153243 | Forrest et al. | Oct 2002 | A1 |
20020153569 | Katayama | Oct 2002 | A1 |
20020175401 | Huang et al. | Nov 2002 | A1 |
20020180069 | Houston | Dec 2002 | A1 |
20020190232 | Chason | Dec 2002 | A1 |
20020199110 | Kean | Dec 2002 | A1 |
20030015713 | Yoo | Jan 2003 | A1 |
20030032262 | Dennison et al. | Feb 2003 | A1 |
20030059999 | Gonzalez | Mar 2003 | A1 |
20030060034 | Beyne et al. | Mar 2003 | A1 |
20030061555 | Kamei | Mar 2003 | A1 |
20030067043 | Zhang | Apr 2003 | A1 |
20030076706 | Andoh | Apr 2003 | A1 |
20030102079 | Kalvesten et al. | Jun 2003 | A1 |
20030107117 | Antonell et al. | Jun 2003 | A1 |
20030113963 | Wurzer | Jun 2003 | A1 |
20030119279 | Enquist | Jun 2003 | A1 |
20030139011 | Cleeves et al. | Jul 2003 | A1 |
20030153163 | Letertre | Aug 2003 | A1 |
20030157748 | Kim et al. | Aug 2003 | A1 |
20030160888 | Yoshikawa | Aug 2003 | A1 |
20030173631 | Murakami | Sep 2003 | A1 |
20030206036 | Or-Bach | Nov 2003 | A1 |
20030213967 | Forrest et al. | Nov 2003 | A1 |
20030224582 | Shimoda et al. | Dec 2003 | A1 |
20030224596 | Marxsen et al. | Dec 2003 | A1 |
20040007376 | Urdahl et al. | Jan 2004 | A1 |
20040014299 | Moriceau et al. | Jan 2004 | A1 |
20040033676 | Coronel et al. | Feb 2004 | A1 |
20040036126 | Chau et al. | Feb 2004 | A1 |
20040047539 | Okubora et al. | Mar 2004 | A1 |
20040061176 | Takafuji et al. | Apr 2004 | A1 |
20040113207 | Hsu et al. | Jun 2004 | A1 |
20040143797 | Nguyen | Jul 2004 | A1 |
20040150068 | Leedy | Aug 2004 | A1 |
20040150070 | Okada | Aug 2004 | A1 |
20040152272 | Fladre et al. | Aug 2004 | A1 |
20040155301 | Zhang | Aug 2004 | A1 |
20040156172 | Lin et al. | Aug 2004 | A1 |
20040156233 | Bhattacharyya | Aug 2004 | A1 |
20040164425 | Urakawa | Aug 2004 | A1 |
20040166649 | Bressot et al. | Aug 2004 | A1 |
20040174732 | Morimoto | Sep 2004 | A1 |
20040175902 | Rayssac et al. | Sep 2004 | A1 |
20040178819 | New | Sep 2004 | A1 |
20040195572 | Kato et al. | Oct 2004 | A1 |
20040219765 | Reif et al. | Nov 2004 | A1 |
20040229444 | Couillard | Nov 2004 | A1 |
20040259312 | Schlosser et al. | Dec 2004 | A1 |
20040262635 | Lee | Dec 2004 | A1 |
20040262772 | Ramanathan et al. | Dec 2004 | A1 |
20050003592 | Jones | Jan 2005 | A1 |
20050010725 | Eilert | Jan 2005 | A1 |
20050023656 | Leedy | Feb 2005 | A1 |
20050045919 | Kaeriyama et al. | Mar 2005 | A1 |
20050067620 | Chan et al. | Mar 2005 | A1 |
20050067625 | Hata | Mar 2005 | A1 |
20050073060 | Datta et al. | Apr 2005 | A1 |
20050082526 | Bedell et al. | Apr 2005 | A1 |
20050098822 | Mathew | May 2005 | A1 |
20050110041 | Boutros et al. | May 2005 | A1 |
20050121676 | Fried et al. | Jun 2005 | A1 |
20050121789 | Madurawe | Jun 2005 | A1 |
20050130351 | Leedy | Jun 2005 | A1 |
20050130429 | Rayssac et al. | Jun 2005 | A1 |
20050148137 | Brask et al. | Jul 2005 | A1 |
20050176174 | Leedy | Aug 2005 | A1 |
20050218521 | Lee | Oct 2005 | A1 |
20050225237 | Winters | Oct 2005 | A1 |
20050266659 | Ghyselen et al. | Dec 2005 | A1 |
20050273749 | Kirk | Dec 2005 | A1 |
20050280061 | Lee | Dec 2005 | A1 |
20050280090 | Anderson et al. | Dec 2005 | A1 |
20050280154 | Lee | Dec 2005 | A1 |
20050280155 | Lee | Dec 2005 | A1 |
20050280156 | Lee | Dec 2005 | A1 |
20050282019 | Fukushima et al. | Dec 2005 | A1 |
20060014331 | Tang et al. | Jan 2006 | A1 |
20060024923 | Sarma et al. | Feb 2006 | A1 |
20060033110 | Alam et al. | Feb 2006 | A1 |
20060033124 | Or-Bach et al. | Feb 2006 | A1 |
20060043367 | Chang et al. | Feb 2006 | A1 |
20060049449 | Iino | Mar 2006 | A1 |
20060065953 | Kim et al. | Mar 2006 | A1 |
20060067122 | Verhoeven | Mar 2006 | A1 |
20060071322 | Kitamura | Apr 2006 | A1 |
20060071332 | Speers | Apr 2006 | A1 |
20060083280 | Tauzin et al. | Apr 2006 | A1 |
20060108613 | Song | May 2006 | A1 |
20060108627 | Choi et al. | May 2006 | A1 |
20060113522 | Lee et al. | Jun 2006 | A1 |
20060118935 | Kamiyama et al. | Jun 2006 | A1 |
20060121690 | Pogge et al. | Jun 2006 | A1 |
20060146233 | Park | Jul 2006 | A1 |
20060150137 | Madurawe | Jul 2006 | A1 |
20060158511 | Harrold | Jul 2006 | A1 |
20060170046 | Hara | Aug 2006 | A1 |
20060179417 | Madurawe | Aug 2006 | A1 |
20060181202 | Liao et al. | Aug 2006 | A1 |
20060189095 | Ghyselen et al. | Aug 2006 | A1 |
20060194401 | Hu et al. | Aug 2006 | A1 |
20060195729 | Huppenthal et al. | Aug 2006 | A1 |
20060207087 | Jafri et al. | Sep 2006 | A1 |
20060224814 | Kim et al. | Oct 2006 | A1 |
20060237777 | Choi | Oct 2006 | A1 |
20060249859 | Eiles et al. | Nov 2006 | A1 |
20060275962 | Lee | Dec 2006 | A1 |
20070004150 | Huang | Jan 2007 | A1 |
20070014508 | Chen et al. | Jan 2007 | A1 |
20070035329 | Madurawe | Feb 2007 | A1 |
20070063259 | Derderian et al. | Mar 2007 | A1 |
20070072391 | Pocas et al. | Mar 2007 | A1 |
20070076509 | Zhang | Apr 2007 | A1 |
20070077694 | Lee | Apr 2007 | A1 |
20070077743 | Rao et al. | Apr 2007 | A1 |
20070090416 | Doyle et al. | Apr 2007 | A1 |
20070102737 | Kashiwabara et al. | May 2007 | A1 |
20070103191 | Sugawara et al. | May 2007 | A1 |
20070108523 | Ogawa et al. | May 2007 | A1 |
20070109831 | RaghuRam | May 2007 | A1 |
20070111386 | Kim et al. | May 2007 | A1 |
20070111406 | Joshi et al. | May 2007 | A1 |
20070132049 | Stipe | Jun 2007 | A1 |
20070132369 | Forrest et al. | Jun 2007 | A1 |
20070135013 | Faris | Jun 2007 | A1 |
20070141781 | Park | Jun 2007 | A1 |
20070158659 | Bensce | Jul 2007 | A1 |
20070158831 | Cha et al. | Jul 2007 | A1 |
20070176214 | Kwon et al. | Aug 2007 | A1 |
20070187775 | Okhonin et al. | Aug 2007 | A1 |
20070190746 | Ito et al. | Aug 2007 | A1 |
20070194453 | Chakraborty et al. | Aug 2007 | A1 |
20070206408 | Schwerin | Sep 2007 | A1 |
20070210336 | Madurawe | Sep 2007 | A1 |
20070211535 | Kim | Sep 2007 | A1 |
20070215903 | Sakamoto et al. | Sep 2007 | A1 |
20070218622 | Lee et al. | Sep 2007 | A1 |
20070228383 | Bernstein et al. | Oct 2007 | A1 |
20070252201 | Kito et al. | Nov 2007 | A1 |
20070252203 | Zhu et al. | Nov 2007 | A1 |
20070262457 | Lin | Nov 2007 | A1 |
20070275520 | Suzuki | Nov 2007 | A1 |
20070281439 | Bedell et al. | Dec 2007 | A1 |
20070283298 | Bernstein et al. | Dec 2007 | A1 |
20070287224 | Alam et al. | Dec 2007 | A1 |
20070296073 | Wu | Dec 2007 | A1 |
20070297232 | Iwata | Dec 2007 | A1 |
20080001204 | Lee | Jan 2008 | A1 |
20080003818 | Seidel et al. | Jan 2008 | A1 |
20080030228 | Amarilio | Feb 2008 | A1 |
20080032463 | Lee | Feb 2008 | A1 |
20080038902 | Lee | Feb 2008 | A1 |
20080048239 | Huo | Feb 2008 | A1 |
20080048327 | Lee | Feb 2008 | A1 |
20080054359 | Yang et al. | Mar 2008 | A1 |
20080067573 | Jang et al. | Mar 2008 | A1 |
20080070340 | Borrelli et al. | Mar 2008 | A1 |
20080072182 | He et al. | Mar 2008 | A1 |
20080099780 | Tran | May 2008 | A1 |
20080099819 | Kito et al. | May 2008 | A1 |
20080108171 | Rogers et al. | May 2008 | A1 |
20080123418 | Widjaja | May 2008 | A1 |
20080124845 | Yu et al. | May 2008 | A1 |
20080128745 | Mastro et al. | Jun 2008 | A1 |
20080128780 | Nishihara | Jun 2008 | A1 |
20080135949 | Lo et al. | Jun 2008 | A1 |
20080136455 | Diamant et al. | Jun 2008 | A1 |
20080142937 | Chen et al. | Jun 2008 | A1 |
20080142959 | DeMulder et al. | Jun 2008 | A1 |
20080143379 | Norman | Jun 2008 | A1 |
20080150579 | Madurawe | Jun 2008 | A1 |
20080160431 | Scott et al. | Jul 2008 | A1 |
20080160726 | Lim et al. | Jul 2008 | A1 |
20080165521 | Bernstein et al. | Jul 2008 | A1 |
20080175032 | Tanaka et al. | Jul 2008 | A1 |
20080179678 | Dyer et al. | Jul 2008 | A1 |
20080180132 | Ishikawa | Jul 2008 | A1 |
20080185648 | Jeong | Aug 2008 | A1 |
20080191247 | Yin et al. | Aug 2008 | A1 |
20080191312 | Oh et al. | Aug 2008 | A1 |
20080194068 | Temmler et al. | Aug 2008 | A1 |
20080203452 | Moon et al. | Aug 2008 | A1 |
20080213982 | Park et al. | Sep 2008 | A1 |
20080220558 | Zehavi et al. | Sep 2008 | A1 |
20080220565 | Hsu et al. | Sep 2008 | A1 |
20080224260 | Schmit et al. | Sep 2008 | A1 |
20080237591 | Leedy | Oct 2008 | A1 |
20080239818 | Mokhlesi | Oct 2008 | A1 |
20080242028 | Mokhlesi | Oct 2008 | A1 |
20080248618 | Ahn et al. | Oct 2008 | A1 |
20080251862 | Fonash et al. | Oct 2008 | A1 |
20080254561 | Yoo | Oct 2008 | A2 |
20080254572 | Leedy | Oct 2008 | A1 |
20080254623 | Chan | Oct 2008 | A1 |
20080261378 | Yao et al. | Oct 2008 | A1 |
20080266960 | Kuo | Oct 2008 | A1 |
20080272492 | Tsang | Nov 2008 | A1 |
20080277778 | Furman et al. | Nov 2008 | A1 |
20080283873 | Yang | Nov 2008 | A1 |
20080283875 | Mukasa et al. | Nov 2008 | A1 |
20080284611 | Leedy | Nov 2008 | A1 |
20080296681 | Georgakos et al. | Dec 2008 | A1 |
20080315253 | Yuan | Dec 2008 | A1 |
20080315351 | Kakehata | Dec 2008 | A1 |
20090001469 | Yoshida et al. | Jan 2009 | A1 |
20090001504 | Takei et al. | Jan 2009 | A1 |
20090016716 | Ishida | Jan 2009 | A1 |
20090026541 | Chung | Jan 2009 | A1 |
20090026618 | Kim | Jan 2009 | A1 |
20090032899 | Irie | Feb 2009 | A1 |
20090032951 | Andry et al. | Feb 2009 | A1 |
20090039918 | Madurawe | Feb 2009 | A1 |
20090052827 | Durfee et al. | Feb 2009 | A1 |
20090055789 | McIlrath | Feb 2009 | A1 |
20090057879 | Garrou et al. | Mar 2009 | A1 |
20090061572 | Hareland et al. | Mar 2009 | A1 |
20090064058 | McIlrath | Mar 2009 | A1 |
20090065827 | Hwang | Mar 2009 | A1 |
20090066365 | Solomon | Mar 2009 | A1 |
20090066366 | Solomon | Mar 2009 | A1 |
20090070721 | Solomon | Mar 2009 | A1 |
20090070727 | Solomon | Mar 2009 | A1 |
20090078970 | Yamazaki | Mar 2009 | A1 |
20090079000 | Yamazaki et al. | Mar 2009 | A1 |
20090081848 | Erokhin | Mar 2009 | A1 |
20090087759 | Matsumoto et al. | Apr 2009 | A1 |
20090096009 | Dong et al. | Apr 2009 | A1 |
20090096024 | Shingu et al. | Apr 2009 | A1 |
20090108318 | Yoon et al. | Apr 2009 | A1 |
20090115042 | Koyanagi | May 2009 | A1 |
20090128189 | Madurawe et al. | May 2009 | A1 |
20090134397 | Yokoi et al. | May 2009 | A1 |
20090144669 | Bose et al. | Jun 2009 | A1 |
20090144678 | Bose et al. | Jun 2009 | A1 |
20090146172 | Pumyea | Jun 2009 | A1 |
20090159870 | Lin et al. | Jun 2009 | A1 |
20090160482 | Karp et al. | Jun 2009 | A1 |
20090161401 | Bigler et al. | Jun 2009 | A1 |
20090162993 | Yui et al. | Jun 2009 | A1 |
20090166627 | Han | Jul 2009 | A1 |
20090174018 | Dungan | Jul 2009 | A1 |
20090179268 | Abou-Khalil et al. | Jul 2009 | A1 |
20090185407 | Park | Jul 2009 | A1 |
20090194152 | Liu et al. | Aug 2009 | A1 |
20090194768 | Leedy | Aug 2009 | A1 |
20090194829 | Chung | Aug 2009 | A1 |
20090194836 | Kim | Aug 2009 | A1 |
20090204933 | Rezgui | Aug 2009 | A1 |
20090212317 | Kolodin et al. | Aug 2009 | A1 |
20090218627 | Zhu | Sep 2009 | A1 |
20090221110 | Lee et al. | Sep 2009 | A1 |
20090224330 | Hong | Sep 2009 | A1 |
20090224364 | Oh et al. | Sep 2009 | A1 |
20090230462 | Tanaka et al. | Sep 2009 | A1 |
20090234331 | Langereis et al. | Sep 2009 | A1 |
20090236749 | Otemba et al. | Sep 2009 | A1 |
20090242893 | Tomiyasu | Oct 2009 | A1 |
20090242935 | Fitzgerald | Oct 2009 | A1 |
20090250686 | Sato et al. | Oct 2009 | A1 |
20090262572 | Krusin-Elbaum | Oct 2009 | A1 |
20090262583 | Lue | Oct 2009 | A1 |
20090263942 | Ohnuma et al. | Oct 2009 | A1 |
20090267233 | Lee | Oct 2009 | A1 |
20090268983 | Stone et al. | Oct 2009 | A1 |
20090272989 | Shum et al. | Nov 2009 | A1 |
20090290434 | Kurjanowicz | Nov 2009 | A1 |
20090294822 | Batude et al. | Dec 2009 | A1 |
20090294836 | Kiyotoshi | Dec 2009 | A1 |
20090294861 | Thomas et al. | Dec 2009 | A1 |
20090294990 | Ishino et al. | Dec 2009 | A1 |
20090302294 | Kim | Dec 2009 | A1 |
20090302387 | Joshi et al. | Dec 2009 | A1 |
20090302394 | Fujita | Dec 2009 | A1 |
20090309152 | Knoefler et al. | Dec 2009 | A1 |
20090315095 | Kim | Dec 2009 | A1 |
20090317950 | Okihara | Dec 2009 | A1 |
20090321830 | Maly | Dec 2009 | A1 |
20090321853 | Cheng | Dec 2009 | A1 |
20090321948 | Wang et al. | Dec 2009 | A1 |
20090325343 | Lee | Dec 2009 | A1 |
20100001282 | Mieno | Jan 2010 | A1 |
20100013049 | Tanaka | Jan 2010 | A1 |
20100025766 | Nuttinck et al. | Feb 2010 | A1 |
20100025825 | DeGraw et al. | Feb 2010 | A1 |
20100031217 | Sinha et al. | Feb 2010 | A1 |
20100032635 | Schwerin | Feb 2010 | A1 |
20100038699 | Katsumata et al. | Feb 2010 | A1 |
20100038743 | Lee | Feb 2010 | A1 |
20100045849 | Yamasaki | Feb 2010 | A1 |
20100052134 | Werner et al. | Mar 2010 | A1 |
20100058580 | Yazdani | Mar 2010 | A1 |
20100059796 | Scheuerlein | Mar 2010 | A1 |
20100059864 | Mahler et al. | Mar 2010 | A1 |
20100078770 | Purushothaman et al. | Apr 2010 | A1 |
20100081232 | Furman et al. | Apr 2010 | A1 |
20100089627 | Huang et al. | Apr 2010 | A1 |
20100090188 | Fatasuyama | Apr 2010 | A1 |
20100112753 | Lee | May 2010 | A1 |
20100112810 | Lee et al. | May 2010 | A1 |
20100117048 | Lung et al. | May 2010 | A1 |
20100123202 | Hofmann | May 2010 | A1 |
20100123480 | Kitada et al. | May 2010 | A1 |
20100133695 | Lee | Jun 2010 | A1 |
20100133704 | Marimuthu et al. | Jun 2010 | A1 |
20100137143 | Rothberg et al. | Jun 2010 | A1 |
20100139836 | Horikoshi | Jun 2010 | A1 |
20100140790 | Setiadi et al. | Jun 2010 | A1 |
20100155932 | Gambino | Jun 2010 | A1 |
20100157117 | Wang | Jun 2010 | A1 |
20100159650 | Song | Jun 2010 | A1 |
20100181600 | Law | Jul 2010 | A1 |
20100190334 | Lee | Jul 2010 | A1 |
20100193884 | Park et al. | Aug 2010 | A1 |
20100193964 | Farooq et al. | Aug 2010 | A1 |
20100219392 | Awaya | Sep 2010 | A1 |
20100221867 | Bedell et al. | Sep 2010 | A1 |
20100224876 | Zhu | Sep 2010 | A1 |
20100224915 | Kawashima et al. | Sep 2010 | A1 |
20100225002 | Law et al. | Sep 2010 | A1 |
20100232200 | Shepard | Sep 2010 | A1 |
20100252934 | Law | Oct 2010 | A1 |
20100264551 | Farooq | Oct 2010 | A1 |
20100276662 | Colinge | Nov 2010 | A1 |
20100289144 | Farooq | Nov 2010 | A1 |
20100297844 | Yelehanka | Nov 2010 | A1 |
20100307572 | Bedell et al. | Dec 2010 | A1 |
20100308211 | Cho et al. | Dec 2010 | A1 |
20100308863 | Gliese et al. | Dec 2010 | A1 |
20100320514 | Tredwell | Dec 2010 | A1 |
20100320526 | Kidoh et al. | Dec 2010 | A1 |
20100330728 | McCarten | Dec 2010 | A1 |
20100330752 | Jeong | Dec 2010 | A1 |
20110001172 | Lee | Jan 2011 | A1 |
20110003438 | Lee | Jan 2011 | A1 |
20110024724 | Frolov et al. | Feb 2011 | A1 |
20110026263 | Xu | Feb 2011 | A1 |
20110027967 | Beyne | Feb 2011 | A1 |
20110037052 | Schmidt et al. | Feb 2011 | A1 |
20110042696 | Smith et al. | Feb 2011 | A1 |
20110049336 | Matsunuma | Mar 2011 | A1 |
20110050125 | Medendorp et al. | Mar 2011 | A1 |
20110053332 | Lee | Mar 2011 | A1 |
20110101537 | Barth et al. | May 2011 | A1 |
20110102014 | Madurawe | May 2011 | A1 |
20110111560 | Purushothaman | May 2011 | A1 |
20110115023 | Cheng | May 2011 | A1 |
20110128777 | Yamazaki | Jun 2011 | A1 |
20110134683 | Yamazaki | Jun 2011 | A1 |
20110143506 | Lee | Jun 2011 | A1 |
20110147791 | Norman et al. | Jun 2011 | A1 |
20110147849 | Augendre et al. | Jun 2011 | A1 |
20110159635 | Doan et al. | Jun 2011 | A1 |
20110170331 | Oh | Jul 2011 | A1 |
20110204917 | O'Neill | Aug 2011 | A1 |
20110221022 | Toda | Sep 2011 | A1 |
20110222356 | Banna | Sep 2011 | A1 |
20110227158 | Zhu | Sep 2011 | A1 |
20110241082 | Bernstein et al. | Oct 2011 | A1 |
20110284946 | Kiyotoshi | Nov 2011 | A1 |
20110284992 | Zhu | Nov 2011 | A1 |
20110286283 | Lung et al. | Nov 2011 | A1 |
20110304765 | Yogo et al. | Dec 2011 | A1 |
20110309432 | Ishihara et al. | Dec 2011 | A1 |
20110314437 | McIlrath | Dec 2011 | A1 |
20120001184 | Ha et al. | Jan 2012 | A1 |
20120003815 | Lee | Jan 2012 | A1 |
20120013013 | Sadaka et al. | Jan 2012 | A1 |
20120025388 | Law et al. | Feb 2012 | A1 |
20120032250 | Son et al. | Feb 2012 | A1 |
20120034759 | Sakaguchi et al. | Feb 2012 | A1 |
20120063090 | Hsiao et al. | Mar 2012 | A1 |
20120074466 | Setiadi et al. | Mar 2012 | A1 |
20120086100 | Andry | Apr 2012 | A1 |
20120126197 | Chung | May 2012 | A1 |
20120146193 | Stuber et al. | Jun 2012 | A1 |
20120161310 | Brindle et al. | Jun 2012 | A1 |
20120169319 | Dennard | Jul 2012 | A1 |
20120178211 | Hebert | Jul 2012 | A1 |
20120181654 | Lue | Jul 2012 | A1 |
20120182801 | Lue | Jul 2012 | A1 |
20120187444 | Oh | Jul 2012 | A1 |
20120193785 | Lin | Aug 2012 | A1 |
20120241919 | Mitani | Sep 2012 | A1 |
20120286822 | Madurawe | Nov 2012 | A1 |
20120304142 | Morimoto | Nov 2012 | A1 |
20120317528 | McIlrath | Dec 2012 | A1 |
20120319728 | Madurawe | Dec 2012 | A1 |
20130026663 | Radu et al. | Jan 2013 | A1 |
20130037802 | England | Feb 2013 | A1 |
20130049796 | Pang | Feb 2013 | A1 |
20130070506 | Kajigaya | Mar 2013 | A1 |
20130082235 | Gu et al. | Apr 2013 | A1 |
20130097574 | Balabanov et al. | Apr 2013 | A1 |
20130100743 | Lue | Apr 2013 | A1 |
20130128666 | Avila | May 2013 | A1 |
20130187720 | Ishii | Jul 2013 | A1 |
20130193550 | Sklenard et al. | Aug 2013 | A1 |
20130196500 | Batude et al. | Aug 2013 | A1 |
20130203248 | Ernst et al. | Aug 2013 | A1 |
20130207243 | Fuergut et al. | Aug 2013 | A1 |
20130263393 | Mazumder | Oct 2013 | A1 |
20130337601 | Kapur | Dec 2013 | A1 |
20140015136 | Gan et al. | Jan 2014 | A1 |
20140030871 | Arriagada et al. | Jan 2014 | A1 |
20140035616 | Oda et al. | Feb 2014 | A1 |
20140048867 | Toh | Feb 2014 | A1 |
20140099761 | Kim et al. | Apr 2014 | A1 |
20140103959 | Andreev | Apr 2014 | A1 |
20140117413 | Madurawe | May 2014 | A1 |
20140120695 | Ohtsuki | May 2014 | A1 |
20140131885 | Samadi et al. | May 2014 | A1 |
20140137061 | McIlrath | May 2014 | A1 |
20140145347 | Samadi et al. | May 2014 | A1 |
20140146630 | Xie et al. | May 2014 | A1 |
20140149958 | Samadi et al. | May 2014 | A1 |
20140151774 | Rhie | Jun 2014 | A1 |
20140191357 | Lee | Jul 2014 | A1 |
20140225218 | Du | Aug 2014 | A1 |
20140225235 | Du | Aug 2014 | A1 |
20140252306 | Du | Sep 2014 | A1 |
20140253196 | Du et al. | Sep 2014 | A1 |
20140264228 | Toh | Sep 2014 | A1 |
20140357054 | Son et al. | Dec 2014 | A1 |
20150021785 | Lin | Jan 2015 | A1 |
20150034898 | Wang | Feb 2015 | A1 |
20150243887 | Saitoh | Aug 2015 | A1 |
20150255418 | Gowda | Sep 2015 | A1 |
20150279829 | Kuo | Oct 2015 | A1 |
20150340369 | Lue | Nov 2015 | A1 |
20160049201 | Lue | Feb 2016 | A1 |
20160104780 | Mauder | Apr 2016 | A1 |
20160133603 | Ahn | May 2016 | A1 |
20160141299 | Hong | May 2016 | A1 |
20160141334 | Takaki | May 2016 | A1 |
20160307952 | Huang | Oct 2016 | A1 |
20160343687 | Vadhavkar | Nov 2016 | A1 |
20170069601 | Park | Mar 2017 | A1 |
20170092371 | Harari | Mar 2017 | A1 |
20170098596 | Lin | Apr 2017 | A1 |
20170148517 | Harari | May 2017 | A1 |
20170179146 | Park | Jun 2017 | A1 |
20170221900 | Widjaja | Aug 2017 | A1 |
20170278858 | Walker et al. | Sep 2017 | A1 |
20180090219 | Harari | Mar 2018 | A1 |
20180090368 | Kim | Mar 2018 | A1 |
20180108416 | Harari | Apr 2018 | A1 |
20180294284 | Tarakji | Oct 2018 | A1 |
20190006009 | Harari | Jan 2019 | A1 |
20190043836 | Fastow et al. | Feb 2019 | A1 |
20190067327 | Herner | Feb 2019 | A1 |
20190157296 | Harari et al. | May 2019 | A1 |
20200020408 | Norman | Jan 2020 | A1 |
20200020718 | Harari et al. | Jan 2020 | A1 |
20200051990 | Harari et al. | Feb 2020 | A1 |
20200105773 | Morris et al. | Apr 2020 | A1 |
20200227123 | Salahuddin et al. | Jul 2020 | A1 |
20200243486 | Quader et al. | Jul 2020 | A1 |
Number | Date | Country |
---|---|---|
1267594 | Dec 2002 | EP |
PCTUS2008063483 | May 2008 | WO |
Entry |
---|
Colinge, J. P., et al., “Nanowire transistors without Junctions”, Nature Nanotechnology, Feb. 21, 2010, pp. 1-5. |
Kim, J.Y., et al., “The breakthrough in data retention time of DRAM using Recess-Channel-Array Transistor (RCAT) for 88 nm feature size and beyond,” 2003 Symposium on VLSI Technology Digest of Technical Papers, pp. 11-12, Jun. 10-12, 2003. |
Kim, J.Y., et al., “The excellent scalability of the RCAT (recess-channel-array-transistor) technology for sub-70nm DRAM feature size and beyond,” 2005 IEEE VLSI-TSA International Symposium, pp. 33-34, Apr. 25-27, 2005. |
Abramovici, Breuer and Friedman, Digital Systems Testing and Testable Design, Computer Science Press, 1990, pp. 432-447. |
Yonehara, T., et al., “ELTRAN: SOI-Epi Wafer by Epitaxial Layer transfer from porous Silicon”, the 198th Electrochemical Society Meeting, abstract No. 438 (2000). |
Yonehara, T. et al., “Eltran®, Novel SOI Wafer Technology,” JSAP International, Jul. 2001, pp. 10-16, No. 4. |
Suk, S. D., et al., “High performance 5 nm radius twin silicon nanowire MOSFET(TSNWFET): Fabrication on bulk Si wafer, characteristics, and reliability,” in Proc. IEDM Tech. Dig., 2005, pp. 717-720. |
Bangsaruntip, S., et al., “High performance and highly uniform gate-all-around silicon nanowire MOSFETs with wire size dependent scaling,” Electron Devices Meeting (IEDM), 2009 IEEE International, pp. 297-300, Dec. 7-9, 2009. |
Burr, G. W., et al., “Overview of candidate device technologies for storage-class memory,” IBM Journal of Research and Development , vol. 52, No. 4.5, pp. 449-464, Jul. 2008. |
Bez, R., et al., “Introduction to Flash memory,” Proceedings IEEE, 91(4), 489-502 (2003). |
Auth, C., et al., “45nm High-k + Metal Gate Strain-Enchanced Transistors,” Symposium on VLSI Technology Digest of Technical Papers, 2008, pp. 128-129. |
Jan, C. H., et al., “A 32nm SoC Platform Technology with 2nd Generation High-k/Metal Gate Transistors Optimized for Ultra Low Power, High Performance, and High Density Product Applications,” IEEE International Electronic Devices Meeting (IEDM), Dec. 7-9, 2009, pp. 1-4. |
Mistry, K., “A 45nm Logic Technology With High-K+Metal Gate Transistors, Strained Silicon, 9 Cu Interconnect Layers, 193nm Dry Patterning, and 100% Pb-Free Packaging,” Electron Devices Meeting, 2007, IEDM 2007, IEEE International, Dec. 10-12, 2007, p. 247. |
Ragnarsson, L., et al., “Ultralow-EOT (5 A) Gate-First and Gate-Last High Performance CMOS Achieved by Gate-Electrode Optimization,” IEDM Tech. Dig., pp. 663-666, 2009. |
Sen, P & Kim, C.J., “A Fast Liquid-Metal Droplet Microswitch Using EWOD-Driven Contact-Line Sliding”, Journal of Microelectromechanical Systems, vol. 18, No. 1, Feb. 2009, pp. 174-185. |
Iwai, H., et.al., “NiSi Salicide Technology for Scaled CMOS,” Microelectronic Engineering, 60 (2002), pp. 157-169. |
Froment, B., et.al., “Nickel vs. Cobalt Silicide integration for sub-50nm CMOS”, IMEC ESS Circuits, 2003. pp. 215-219. |
James, D., “65 and 45-nm Devices—an Overview”, Semicon West, Jul. 2008, paper No. ctr_024377. |
Davis, J.A., et.al., “Interconnect Limits on Gigascale Integration(GSI) in the 21st Century”, Proc. IEEE, vol. 89, No. 3, pp. 305-324, Mar. 2001. |
Shino, T., et al., “Floating Body RAM Technology and its Scalability to 32nm Node and Beyond,” Electron Devices Meeting, 2006, IEDM '06, International, pp. 1-4, Dec. 11-13, 2006. |
Hamamoto, T., et al., “Overview and future challenges of floating body RAM (FBRAM) technology for 32 nm technology node and beyond”, Solid-State Electronics, vol. 53, Issue 7, Papers Selected from the 38th European Solid-State Device Research Conference—ESSDERC'08, Jul. 2009, pp. 676-683. |
Okhonin, S., et al., “New Generation of Z-RAM”, Electron Devices Meeting, 2007. IEDM 2007. IEEE International, pp. 925-928, Dec. 10-12, 2007. |
Henttinen, K. et al., “Mechanically Induced Si Layer Transfer in Hydrogen-Implanted Si Wafers,” Applied Physics Letters, Apr. 24, 2000, p. 2370-2372, vol. 76, No. 17. |
Lee, C.-W., et al., “Junctionless multigate field-effect transistor,” Applied Physics Letters, vol. 94, pp. 053511-1 to -2, 2009. |
Park, S. G., et al., “Implementation of HfSiON gate dielectric for sub-60nm DRAM dual gate oxide with recess channel array transistor (RCAT) and tungsten gate,” International Electron Devices Meeting, IEDM 2004, pp. 515-518, Dec. 13-15, 2004. |
Kim, J.Y., et al., “S-RCAT (sphere-shaped-recess-channel-array transistor) technology for 70nm DRAM feature size and beyond,” 2005 Symposium on VLSI Technology Digest of Technical Papers, 2005 pp. 34-35, Jun. 14-16, 2005. |
Oh, H.J., et al., “High-density low-power-operating DRAM device adopting 6F2 cell scheme with novel S-RCAT structure on 80nm feature size and beyond,” Solid-State Device Research Conference, ESSDERC 2005. Proceedings of 35th European , pp. 177-180, Sep. 12-16, 2005. |
Chung, S.-W., et al., “Highly Scalable Saddle-Fin (S-Fin) Transistor for Sub-50nm DRAM Technology,” 2006 Symposium on VLSI Technology Digest of Technical Papers, pp. 32-33. |
Lee, M. J., et al., “A Proposal on an Optimized Device Structure With Experimental Studies on Recent Devices for the DRAM Cell Transistor,” IEEE Transactions on Electron Devices, vol. 54, No. 12, pp. 3325-3335, Dec. 2007. |
Henttinen, K. et al., “Cold ion-cutting of hydrogen implanted Si,” J. Nucl. Instr. and Meth. in Phys. Res. B, 2002, pp. 761-766, vol. 190. |
Brumfiel, G., “Solar cells sliced and diced”, May 19, 2010, Nature News. |
Dragoi, et al., “Plasma-activated wafer bonding: the new low-temperature tool for MEMS fabrication”, Proc. SPIE, vol. 6589, 65890T (2007). |
Vengurlekar, A., et al., “Mechanism of Dopant Activation Enhancement in Shallow Junctions by Hydrogen”, Proceedings of the Materials Research Society, vol. 864, Spring 2005, E9.28.1-6. |
Yamada, M. et al., “Phosphor Free High-Luminous-Efficiency White Light-Emitting Diodes Composed of InGaN Multi-Quantum Well,” Japanese Journal of Applied Physics, 2002, pp. L246-L248, vol. 41. |
Guo, X. et al., “Cascade single-chip phosphor-free white light emitting diodes,” Applied Physics Letters, 2008, pp. 013507-1-013507-3, vol. 92. |
Takafuji, Y. et al., “Integration of Single Crystal Si TFTs and Circuits on a Large Glass Substrate,” IEEE International Electron Devices Meeting (IEDM), Dec. 7-9, 2009, pp. 1-4. |
Wierer, J.J. et al., “High-power AlGaInN flip-chip light-emitting diodes,” Applied Physics Letters, May 28, 2001, pp. 3379-3381, vol. 78, No. 22. |
El-Gamal, A., “Trends in CMOS Image Sensor Technology and Design,” International Electron Devices Meeting Digest of Technical Papers, Dec. 2002. |
Ahn, S.W., “Fabrication of a 50 nm half-pitch wire grid polarizer using nanoimprint lithography,” Nanotechnology, 2005, pp. 1874-1877, vol. 16, No. 9. |
Johnson, R.C., “Switching LEDs on and off to enlighten wireless communications,” EE Times, Jun. 2010, last accessed Oct. 11, 2010, <http://www.embeddedinternetdesign.com/design/225402094>. |
Ohsawa, et al., “Autonomous Refresh of Floating Body Cell (FBC)”, International Electron Device Meeting, 2008, pp. 801-804. |
Chen, P., et al., “Effects of Hydrogen Implantation Damage on the Performance of InP/InGaAs/InP p-i-n Photodiodes, Transferred on Silicon,” Applied Physics Letters, vol. 94, No. 1, Jan. 2009, pp. 012101-1 to 012101-3. |
Lee, D., et al., “Single-Crystalline Silicon Micromirrors Actuated by Self-Aligned Vertical Electrostatic Combdrives with Piston-Motion and Rotation Capability,” Sensors and Actuators A114, 2004, pp. 423-428. |
Shi, X., et al., “Characterization of Low-Temperature Processed Single-Crystalline Silicon Thin-Film Transistor on Glass,” IEEE Electron Device Letters, vol. 24, No. 9, Sep. 2003, pp. 574-576. |
Chen, W., et al., “InP Layer Transfer with Masked Implantation,” Electrochemical and Solid-State Letters, Issue 12, No. 4, Apr. 2009, H149-150. |
Feng, J., et al., “Integration of Germanium-on-Insulator and Silicon MOSFETs on a Silicon Substrate,” IEEE Electron Device Letters, vol. 27, No. 11, Nov. 2006, pp. 911-913. |
Zhang, S., et al., “Stacked CMOS Technology on SOI Substrate,” IEEE Electron Device Letters, vol. 25, No. 9, Sep. 2004, pp. 661-663. |
Brebner, G., “Tooling up for Reconfigurable System Design,” IEE Colloquium on Reconfigurable Systems, 1999, Ref. No. 1999/061, pp. 2/1-2/4. |
Bae, Y.-D., “A Single-Chip Programmable Platform Based on a Multithreaded Processor and Configurable Logic Clusters,” 2002 IEEE International Solid-State Circuits Conference, Feb. 3-7, 2002, Digest of Technical Papers, ISSCC, vol. 1, pp. 336-337. |
Lu, N.C.C., et al., “A Buried-Trench DRAM Cell Using a Self-aligned Epitaxy Over Trench Technology,” Electron Devices Meeting, IEDM '88 Technical Digest, International, 1988, pp. 588-591. |
Valsamakis, E.A., “Generator for a Custom Statistical Bipolar Transistor Model,” IEEE Journal of Solid-State Circuits, Apr. 1985, pp. 586-589, vol. SC-20, No. 2. |
Srivastava, P. et al., “Silicon Substrate Removal of GaN DHFETs for enhanced (>1100V) Breakdown Voltage,” Aug. 2010, IEEE Electron Device Letters, vol. 31, No. 8, pp. 851-852. |
Gosele, U., et al., “Semiconductor Wafer Bonding,” Annual Review of Materials Science, Aug. 1998, pp. 215-241, vol. 28. |
Spangler, L.J. et al., “A Technology for High Performance Single-Crystal Silicon-on-Insulator Transistors,” IEEE Electron Device Letters, Apr. 1987, pp. 137-139, vol. 8, No. 4. |
Larrieu, G., et al., “Low Temperature Implementation of Dopant-Segregated Band-edger Metallic S/D junctions in Thin-Body SOI p-MOSFETs”, Proceedings IEDM, 2007, pp. 147-150. |
Qui, Z., et al., “A Comparative Study of Two Different Schemes to Dopant Segregation at NiSi/Si and PtSi/Si Interfaces for Schottky Barrier Height Lowering”, IEEE Transactions on Electron Devices, vol. 55, No. 1, Jan. 2008, pp. 396-403. |
Khater, M.H., et al., “High-k/Metal-Gate Fully Depleted SOI CMOS With Single-Silicide Schottky Source/Drain With Sub-30-nm Gate Length”, IEEE Electron Device Letters, vol. 31, No. 4, Apr. 2010, pp. 275-277. |
Abramovici, M., “In-system silicon validation and debug”, (2008) IEEE Design and Test of Computers, 25 (3), pp. 216-223. |
Saxena, P., et al., “Repeater Scaling and Its Impact on CAD”, IEEE Transactions On Computer-Aided Design of Integrated Circuits and Systems, vol. 23, No. 4, Apr. 2004. |
Abrmovici, M., et al., A reconfigurable design-for-debug infrastructure for SoCs, (2006) Proceedings—Design Automation Conference, pp. 7-12. |
Anis, E., et al., “Low cost debug architecture using lossy compression for silicon debug”, (2007) Proceedings of the IEEE/ACM Design, pp. 225-230. |
Anis, E., et al., “On using lossless compression of debug data in embedded logic analysis”, (2007) Proceedings of the IEEE International Test Conference, paper 18.3, pp. 1-10. |
Boule, M., et al., “Adding debug enhancements to assertion checkers for hardware emulation and silicon debug”, (2006) Proceedings of the IEEE International Conference on Computer Design, pp. 294-299. |
Boule, M., et al., “Assertion checkers in verification, silicon debug and in-field diagnosis”, (2007) Proceedings—Eighth International Symposium on Quality Electronic Design, ISQED 2007, pp. 613-618. |
Burtscher, M., et al., “The VPC trace-compression algorithms”, (2005) IEEE Transactions on Computers, 54 (11), Nov. 2005, pp. 1329-1344. |
Frieden, B., “Trace port on powerPC 405 cores”, (2007) Electronic Product Design, 28 (6), pp. 12-14. |
Hopkins, A.B.T., et al., “Debug support for complex systems on-chip: A review”, (2006) IEEE Proceedings: Computers and Digital Techniques, 153 (4), Jul. 2006, pp. 197-207. |
Hsu, Y.-C., et al., “Visibility enhancement for silicon debug”, (2006) Proceedings—Design Automation Conference, Jul. 24-28, 2006, San Francisco, pp. 13-18. |
Josephson, D., et al., “The crazy mixed up world of silicon debug”, (2004) Proceedings of the Custom Integrated Circuits Conference, paper 30-1, pp. 665-670. |
Josephson, D.D., “The manic depression of microprocessor debug”, (2002) IEEE International Test Conference (TC), paper 23.4, pp. 657-663. |
Ko, H.F., et al., “Algorithms for state restoration and trace-signal selection for data acquisition in silicon debug”, (2009) IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 28 (2), pp. 285-297. |
Ko, H.F., et al., “Distributed embedded logic analysis for post-silicon validation of SOCs”, (2008) Proceedings of the IEEE International Test Conference, paper 16.3, pp. 755-763. |
Ko, H.F., et al., “Functional scan chain design at RTL for skewed-load delay fault testing”, (2004) Proceedings of the Asian Test Symposium, pp. 454-459. |
Ko, H.F., et al., “Resource-efficient programmable trigger units for post-silicon validation”, (2009) Proceedings of the 14th IEEE European Test Symposium, ETS 2009, pp. 17-22. |
Liu, X., et al., “On reusing test access mechanisms for debug data transfer in SoC post-silicon validation”, (2008) Proceedings of the Asian Test Symposium, pp. 303-308. |
Liu, X., et al., “Trace signal selection for visibility enhancement in post-silicon validation”, (2009) Proceedings Date, pp. 1338-1343. |
McLaughlin, R., et al., “Automated debug of speed path failures using functional tests”, (2009) Proceedings of the IEEE VLSI Test Symposium, pp. 91-96. |
Morris, K., “On-Chip Debugging - Built-in Logic Analyzers on your FPGA”, (2004) Journal of FPGA and Structured ASIC, 2 (3). |
Nicolici, N., et al., “Design-for-debug for post-silicon validation: Can high-level descriptions help?”, (2009) Proceedings—IEEE International High-Level Design Validation and Test Workshop, HLDVT, pp. 172-175. |
Park, S.-B., et al., “IFRA: Instruction Footprint Recording and Analysis for Post-Silicon Bug Localization”, (2008) Design Automation Conference (DAC08), Jun. 8-13, 2008, Anaheim, CA, USA, pp. 373-378. |
Park, S.-B., et al., “Post-silicon bug localization in processors using instruction footprint recording and analysis (IFRA)”, (2009) IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 28 (10), pp. 1545-1558. |
Moore, B., et al., “High Throughput Non-contact SiP Testing”, (2007) Proceedings—International Test Conference, paper 12.3. |
Riley, M.W., et al., “Cell broadband engine debugging for unknown events”, (2007) IEEE Design and Test of Computers, 24 (5), pp. 486-493. |
Vermeulen, B., “Functional debug techniques for embedded systems”, (2008) IEEE Design and Test of Computers, 25 (3), pp. 208-215. |
Vermeulen, B., et al., “Automatic Generation of Breakpoint Hardware for Silicon Debug”, Proceeding of the 41st Design Automation Conference, Jun. 7-11, 2004, p. 514-517. |
Vermeulen, B., et al., “Design for debug: Catching design errors in digital chips”, (2002) IEEE Design and Test of Computers, 19 (3), pp. 37-45. |
Vermeulen, B., et al., “Core-based scan architecture for silicon debug”, (2002) IEEE International Test Conference (TC), pp. 638-647. |
Vanrootselaar, G. J., et al., “Silicon debug: scan chains alone are not enough”, (1999) IEEE International Test Conference (TC), pp. 892-902. |
Kim, G.-S., et al., “A 25-mV-sensitivity 2-GB/s optimum-logic-threshold capacitive-coupling receiver for wireless wafer probing systems”, (2009) IEEE Transactions on Circuits and Systems II: Express Briefs, 56 (9), pp. 709-713. |
Sellathamby, C.V., et al., “Non-contact wafer probe using wireless probe cards”, (2005) Proceedings—International Test Conference, 2005, pp. 447-452. |
Jung, S.-M., et al., “Soft Error Immune 0.46pm2 SRAM Cell with MIM Node Capacitor by 65nm CMOS Technology for Ultra High Speed SRAM”, IEDM 2003, pp. 289-292. |
Brillouet, M., “Emerging Technologies on Silicon”, IEDM 2004, pp. 17-24. |
Meindl, J. D., “Beyond Moore's Law: the Interconnect Era”, IEEE Computing in Science & Engineering, Jan./Feb. 2003, pp. 20-24. |
Lin, X., et al., “Local Clustering 3-D Stacked CMOS Technology for Interconnect Loading Reduction”, IEEE Transactions on electron Devices, vol. 53, No. 6, Jun. 2006, pp. 1405-1410. |
He, T., et al., “Controllable Molecular Modulation of Conductivity in Silicon-Based Devices”, J. Am. Chem. Soc. 2009, 131, 10023-10030. |
Henley, F., “Engineered Substrates Using the Nanocleave Process”, SemiconWest, TechXPOT Conference—Challenges in Device Scaling, Jul. 19, 2006, San Francisco. |
Diamant, G., et al., “Integrated Circuits based on Nanoscale Vacuum Phototubes”, Applied Physics Letters 92, 262903-1 to 262903-3 (2008). |
Landesberger, C., et al., “Carrier techniques for thin wafer processing”, CS Mantech Conference, May 14-17, 2007 Austin, Texas, pp. 33-36. |
Shen, W., et al., “Mercury Droplet Micro switch for Re-configurable Circuit Interconnect”, The 12th International Conference on Solid State Sensors, Actuators and Microsystems. Boston, Jun. 8-12, 2003, pp. 464-467. |
Bangsaruntip, S., et al., “Gate-all-around Silicon Nanowire 25-Stage CMOS Ring Oscillators with Diameter Down to 3 nm”, 2010 Symposium on VLSI Technology Digest of papers, pp. 21-22. |
Borland, J.O., “Low Temperature Activation Of lon Implanted Dopants: A Review”, International Workshop on Junction technology 2002, S7-3, Japan Society of Applied Physics, pp. 85-88. |
Vengurlekar, A., et al., “Hydrogen Plasma Enhancement of Boron Activation in Shallow Junctions”, Applied Physics Letters, vol. 85, No. 18, Nov. 1, 2004, pp. 4052-4054. |
El-Maleh, A. H., et al., “Transistor-Level Defect Tolerant Digital System Design at the Nanoscale”, Research Proposal Submitted to Internal Track Research Grant Programs, 2007. Internal Track Research Grant Programs. |
Austin, T., et al., “Reliable Systems on Unreliable Fabrics”, IEEE Design & Test of Computers, Jul./Aug. 2008, vol. 25, issue 4, pp. 322-332. |
Borkar, S., “Designing Reliable Systems from Unreliable Components: The Challenges of Transistor Variability and Degradation”, IEEE Micro, IEEE Computer Society, Nov.-Dec. 2005, pp. 10-16. |
Zhu, S., et al., “N-Type Schottky Barrier Source/Drain MOSFET Using Ytterbium Silicide”, IEEE Electron Device Letters, vol. 25, No. 8, Aug. 2004, pp. 565-567. |
Zhang, Z., et al., “Sharp Reduction of Contact Resistivities by Effective Schottky Barrier Lowering With Silicides as Diffusion Sources,” IEEE Electron Device Letters, vol. 31, No. 7, Jul. 2010, pp. 731-733. |
Lee, R. T.P., et al., “Novel Epitaxial Nickel Aluminide-Silicide with Low Schottky-Barrier and Series Resistance for Enhanced Performance of Dopant-Segregated Source/Drain N-channel MuGFETs”, 2007 Symposium on VLSI Technology Digest of Technical Papers, pp. 108-109. |
Awano, M., et al., “Advanced Dss Mosfet Technology for Ultrahigh Performance Applications”, 2008 Symposium on VLSI Technology Digest of Technical Papers, pp. 24-25. |
Choi, S.-J., et al., “Performance Breakthrough in NOR Flash Memory with Dopant-Segregated Schottky-Barrier (DSSB) SONOS Devices”, 2009 Symposium of VLSI Technology Digest, pp. 222-223. |
Zhang, M., et al., “Schottky barrier height modulation using dopant segregation in Schottky-barrier SOI-MOSFETs”, Proceeding of ESSDERC, Grenoble, France, 2005, pp. 457-460. |
Larrieu, G., et al., “Arsenic-Segregated Rare-Earth Silicide Junctions: Reduction of Schottky Barrier and Integration in Metallic n-MOSFETs on SOI”, IEEE Electron Device Letters, vol. 30, No. 12, Dec. 2009, pp. 1266-1268. |
Ko, C.H., et al., “NiSi Schottky Barrier Process-Strained Si (SB-PSS) CMOS Technology for High Performance Applications”, 2006 Symposium on VLSI Technology Digest of Technical Papers. |
Kinoshita, A., et al., “Solution for High-Performance Schottky-Source/Drain MOSFETs: Schottky Barrier Height Engineering with Dopant Segregation Technique”, 2004 Symposium on VLSI Technology Digest of Technical Papers, pp. 168-169. |
Kinoshita, A., et al., “High-performance 50-nm-Gate-Length Schottky-Source/Drain MOSFETs with Dopant-Segregation Junctions”, 2005 Symposium on VLSI Technology Digest of Technical Papers, pp. 158-159. |
Kaneko, A., et al., “High-Performance FinFET with Dopant-Segregated Schottky Source/Drain”, IEDM 2006. |
Kinoshita, A., et al., “Ultra Low Voltage Operations in Bulk CMOS Logic Circuits with Dopant Segregated Schottky Source/Drain Transistors”, IEDM 2006. |
Kinoshita, A., et al., “Comprehensive Study on Injection Velocity Enhancement in Dopant-Segregated Schottky MOSFETs”, IEDM 2006. |
Choi, S.-J., et al., “High Speed Flash Memory and 1T-DRAM on Dopant Segregated Schottky Barrier (DSSB) FinFET SONOS Device for Multi-functional SoC Applications”, 2008 IEDM, pp. 223-226. |
Chin, Y.K., et al., “Excimer Laser-Annealed Dopant Segregated Schottky (ELA-DSS) Si Nanowire Gate-All-Around (GAA) pFET with Near Zero Effective Schottky Barrier Height (SBH)”, IEDM 2009, pp. 935-938. |
Agoura Technologies white paper, “Wire Grid Polarizers: a New High Contrast Polarizer Technology for Liquid Crystal Displays”, 2008, pp. 1-12. |
Unipixel Displays, Inc. white paper, “Time Multi-plexed Optical Shutter (TMOS) Displays”, Jun. 2007, pp. 1-49. |
Azevedo, I. L., et al., “The Transition to Solid-State Lighting”, Proc. IEEE, vol. 97, No. 3, Mar. 2009, pp. 481-510. |
Crawford, M.H., “LEDs for Solid-State Lighting: Performance Challenges and Recent Advances”, IEEE Journal of Selected Topics in Quantum Electronics, vol. 15, No. 4, Jul./Aug. 2009, pp. 1028-1040. |
Tong, Q.-Y., et al., “A “smarter-cut” approach to low temperature silicon layer transfer”, Applied Physics Letters, vol. 72, No. 1, Jan. 5, 1998, pp. 49-51. |
Tong, Q.-Y., et al., “Low Temperature Si Layer Splitting”, Proceedings 1997 IEEE International SOI Conference, Oct. 1997, pp. 126-127. |
Nguyen, P., et al., “Systematic study of the splitting kinetic of H/He co-implanted substrate”, SOI Conference, 2003, pp. 132-134. |
Ma, X., et al., “A high-quality SOI structure fabricated by low-temperature technology with B+/H+ co-implantation and plasma bonding”, Semiconductor Science and Technology, vol. 21, 2006, pp. 959-963. |
Yu, C.Y., et al., “Low-temperature fabrication and characterization of Ge-on-insulator structures”, Applied Physics Letters, vol. 89, 101913-1 to 101913-2 (2006). |
Li, Y. A., et al., “Surface Roughness of Hydrogen Ion Cut Low Temperature Bonded Thin Film Layers”, Japan Journal of Applied Physics, vol. 39 (2000), Part 1, No. 1, pp. 275-276. |
Hoechbauer, T., et al., “Comparison of thermally and mechanically induced Si layer transfer in hydrogen-implanted Si wafers”, Nuclear Instruments and Methods in Physics Research B, vol. 216 (2004), pp. 257-263. |
Aspar, B., et al., “Transfer of structured and patterned thin silicon films using the Smart-Cut process”, Electronics Letters, Oct. 10, 1996, vol. 32, No. 21, pp. 1985-1986. |
Agarwal, A., et al., “Efficient production of silicon-on-insulator films by co-implantation of He+ with H+′” Applied Physics Letters, vol. 72, No. 9, Mar. 1998, pp. 1086-1088. |
Cook III, G. O., et al., “Overview of transient liquid phase and partial transient liquid phase bonding,” Journal of Material Science, vol. 46, 2011, pp. 5305-5323. |
Moustris, G. P., et al., “Evolution of autonomous and semi-autonomous robotic surgical systems: a review of the literature,” International Journal of Medical Robotics and Computer Assisted Surgery, Wiley Online Library, 2011, DOI: 10.10002/rcs.408. |
Subbarao, M., et al., “Depth from Defocus: A Spatial Domain Approach,” International Journal of Computer Vision, vol. 13, No. 3, pp. 271-294 (1994). |
Subbarao, M., et al., “Focused Image Recovery from Two Defocused Images Recorded with Different Camera Settings,” IEEE Transactions on Image Processing, vol. 4, No. 12, Dec. 1995, pp. 1613-1628. |
Guseynov, N. A., et al., “Ultrasonic Treatment Restores the Photoelectric Parameters of Silicon Solar Cells Degraded under the Action of 60Cobalt Gamma Radiation,” Technical Physics Letters, vol. 33, No. 1, pp. 18-21 (2007). |
Gawlik, G., et al., “GaAs on Si: towards a low-temperature “smart-cut” technology”, Vacuum, vol. 70, pp. 103-107 (2003). |
Weldon, M. K., et al., “Mechanism of Silicon Exfoliation Induced by Hydrogen/Helium Co-implantation,” Applied Physics Letters, vol. 73, No. 25, pp. 3721-3723 (1998). |
Miller, D.A.B., “Optical interconnects to electronic chips,” Applied Optics, vol. 49, No. 25, Sep. 1, 2010, pp. F59-F70. |
En, W. G., et al., “The Genesis Process”: A New SOI wafer fabrication method, Proceedings 1998 IEEE International SOI Conference, Oct. 1998, pp. 163-164. |
Uchikoga, S., et al., “Low temperature poly-Si TFT-LCD by excimer laser anneal,” Thin Solid Films, vol. 383 (2001), pp. 19-24. |
He, M., et al., “Large Polycrystalline Silicon Grains Prepared by Excimer Laser Crystallization of Sputtered Amorphous Silicon Film with Process Temperature at 100 C,” Japanese Journal of Applied Physics, vol. 46, No. 3B, 2007, pp. 1245-1249. |
Kim, S.D., et al., “Advanced source/drain engineering for box-shaped ultra shallow junction formation using laser annealing and pre-amorphization implantation in sub-100-nm SOI CMOS,” IEEE Trans. Electron Devices, vol. 49, No. 10, pp. 1748-1754, Oct. 2002. |
Ahn, J., et al., “High-quality MOSFET's with ultrathin LPCVD gate SiO2,” IEEE Electron Device Lett., vol. 13, No. 4, pp. 186-188, Apr. 1992. |
Yang, M., et al., “High Performance CMOS Fabricated on Hybrid Substrate with Different Crystal Orientation,” Proceedings IEDM 2003. |
Yin, H., et al., “Scalable 3-D finlike poly-Si TFT and its nonvolatile memory application,” IEEE Trans. Electron Devices, vol. 55, No. 2, pp. 578-584, Feb. 2008. |
Kawaguchi, N., et al., “Pulsed Green-Laser Annealing for Single-Crystalline Silicon Film Transferred onto Silicon wafer and Non-alkaline Glass by Hydrogen-Induced Exfoliation,” Japanese Journal of Applied Physics, vol. 46, No. 1, 2007, pp. 21-23. |
Faynot, O. et al., “Planar Fully depleted SOI technology: A Powerful architecture for the 20nm node and beyond,” Electron Devices Meeting (IEDM), 2010 IEEE International, vol. No., pp. 3.2.1, 3.2.4, Dec. 6-8, 2010. |
Khakifirooz, A., “ETSOI Technology for 20nm and Beyond”, SOI Consortium Workshop: Fully Depleted SOI, Apr. 28, 2011, Hsinchu Taiwan. |
Kim, I.-K., et al., “Advanced Integration Technology for a Highly Scalable SOI DRAM with SOC (Silicon-On-Capacitors)”, IEDM 1996, pp. 96-605-608, 22.5.4. |
Lee, B.H., et al., “A Novel CMP Method for cost-effective Bonded SOI Wafer Fabrication,” Proceedings 1995 IEEE International SOI Conference, Oct. 1995, pp. 60-61. |
Choi, Sung-Jin, et al., “Performance Breakthrough in NOR Flash Memory with Dopant-Segregated Schottky-Barrier (DSSB) SONOS Devices,” paper 11B-3, 2009 Symposium on VLSI Technology, Digest of Technical Papers, pp. 222-223. |
Chang, Wei, et al., “Drain-induced Schottky barrier source-side hot carriers and its application to program local bits of nanowire charge-trapping memories,” Japanese Journal of Applied Physics 53, 094001 (2014) pp. 094001-1 to 094001-5. |
Topol, A.W., et al., “Enabling SOI-Based Assembly Technology for Three-Dimensional (3D) Integrated Circuits (ICs),” IEDM Tech. Digest, Dec. 5, 2005, pp. 363-366. |
Demeester, P. et al., “Epitaxial lift-off and its applications,” Semicond. Sci. Technol., 1993, pp. 1124-1135, vol. 8. |
Yoon, J., et al., “GaAs Photovoltaics and optoelectronics using releasable multilayer epitaxial assemblies”, Nature, vol. 465, May 20, 2010, pp. 329-334. |
Bakir and Meindl, “Integrated Interconnect Technologies for 3D Nanoelectronic Systems”, Artech House, 2009, Chapter 13, pp. 389-419. |
Tanaka, H., et al., “Bit Cost Scalable Technology with Punch and Plug Process for Ultra High Density Flash Memory,” VLSI Technology, 2007 IEEE Symposium on , vol. No., pp. 14-15, Jun. 12-14, 2007. |
Lue, H.-T., et al., “A Highly Scalable 8-Layer 3D Vertical-Gate (VG) TFT NAND Flash Using Junction-Free Buried Channel BE-SONOS Device,” Symposium on VLSI Technology, 2010, pp. 131-132. |
Kim, W., et al., “Multi-layered Vertical Gate NAND Flash overcoming stacking limit for terabit density storage”, Symposium on VLSI Technology Digest of Technical Papers, 2009, pp. 188-189. |
Dicioccio, L., et al., “Direct bonding for wafer level 3D integration”, ICICDT 2010, pp. 110-113. |
Kim, W., et al., “Multi-Layered Vertical Gate NAND Flash Overcoming Stacking Limit for Terabit Density Storage,” Symposium on VLSI Technology, 2009, pp. 188-189. |
Walker, A. J., “Sub-50nm Dual-Gate Thin-Film Transistors for Monolithic 3-D Flash”, IEEE Trans. Elect. Dev., vol. 56, No. 11, pp. 2703-2710, Nov. 2009. |
Hubert, A., et al., “A Stacked SONOS Technology, Up to 4 Levels and 6nm Crystalline Nanowires, with Gate-All-Around or Independent Gates (ϕFlash), Suitable for Full 3D Integration”, International Electron Devices Meeting, 2009, pp. 637-640. |
Celler, G.K. et al., “Frontiers of silicon-on-insulator,” J. App. Phys., May 1, 2003, pp. 4955-4978, vol. 93, No. 9. |
Rajendran, B., et al., “Electrical Integrity of MOS Devices in Laser Annealed 3D IC Structures”, proceedings VLSI Multi Level Interconnect Conference 2004, pp. 73-74. |
Rajendran, B., “Sequential 3D IC Fabrication: Challenges and Prospects”, Proceedings of VLSI Multi Level Interconnect Conference 2006, pp. 57-64. |
Jung, S.-M., et al., “The revolutionary and truly 3-dimensional 25F2 SRAM technology with the smallest S3 (stacked single-crystal Si) cell, 0.16um2, and SSTFT (stacked single-crystal thin film transistor) for ultra high density Sram,” VLSI Technology, 2004. Digest of Technical Papers, pp. 228-229, Jun. 15-17, 2004. |
Hui, K. N., et al., “Design of vertically-stacked polychromatic light-emitting diodes,” Optics Express, Jun. 8, 2009, pp. 9873-9878, vol. 17, No. 12. |
Chuai, D. X., et al., “A Trichromatic Phosphor-Free White Light-Emitting Diode by Using Adhesive Bonding Scheme,” Proc. SPIE, 2009, vol. 7635. |
Suntharalingam, V. et al., “Megapixel CMOS Image Sensor Fabricated in Three-Dimensional Integrated Circuit Technology,” Solid-State Circuits Conference, Digest of Technical Papers, ISSCC, Aug. 29, 2005, pp. 356-357, vol. 1. |
Coudrain, P. et al., “Setting up 3D Sequential Integration for Back-Illuminated CMOS Image Sensors with Highly Miniaturized Pixels with Low Temperature Fully-Depleted SOI Transistors,” IEDM, 2008, pp. 1-4. |
Flamand, G. et al., “Towards Highly Efficient 4-Terminal Mechanical Photovoltaic Stacks,” III-Vs Review, Sep.-Oct. 2006, pp. 24-27, vol. 19, Issue 7. |
Zahler, J.M. et al., “Wafer Bonding and Layer Transfer Processes for High Efficiency Solar Cells,” Photovoltaic Specialists Conference, Conference Record of the Twenty-Ninth IEEE, May 19-24, 2002, pp. 1039-1042. |
Sekar, D. C., et al., “A 3D-IC Technology with Integrated Microchannel Cooling”, Proc. Intl. Interconnect Technology Conference, 2008, pp. 13-15. |
Brunschweiler, T., et al., “Forced Convective Interlayer Cooling in Vertically Integrated Packages,” Proc. Intersoc. Conference on Thermal Management (ITHERM), 2008, pp. 1114-1125. |
Yu, H., et al., “Allocating Power Ground Vias in 3D ICs for Simultaneous Power and Thermal Integrity” ACM Transactions on Design Automation of Electronic Systems (TODAES), vol. 14, No. 3, Article 41, May 2009, pp. 41.1-41.31. |
Motoyoshi, M., “3D-IC Integration,” 3rd Stanford and Tohoku University Joint Open Workshop, Dec. 4, 2009, pp. 1-52. |
Wong, S., et al., “Monolithic 3D Integrated Circuits,” VLSI Technology, Systems and Applications, 2007, International Symposium on VLSI-TSA 2007, pp. 1-4. |
Batude, P., et al., “Advances in 3D CMOS Sequential Integration,” 2009 IEEE International Electron Devices Meeting (Baltimore, Maryland), Dec. 7-9, 2009, pp. 345-348. |
Tan, C.S., et al., “Wafer Level 3-D ICs Process Technology,” ISBN-10: 0387765328, Springer, 1st Ed., Sep. 19, 2008, pp. v-xii, 34, 58, and 59. |
Yoon, S.W. et al., “Fabrication and Packaging of Microbump Interconnections for 3D TSV,” IEEE International Conference on 3D System Integration (3DIC), Sep. 28-30, 2009, pp. 1-5. |
Franzon, P.D. et al., “Design and CAD for 3D Integrated Circuits,” 45th ACM/IEEE Design, Automation Conference (DAC), Jun. 8-13, 2008, pp. 668-673. |
Lajevardi, P., “Design of a 3-Dimension FPGA,” Thesis paper, University of British Columbia, Submitted to Dept. of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Jul. 2005, pp. 1-71. |
Dong, C. et al., “Reconfigurable Circuit Design with Nanomaterials,” Design, Automation & Test in Europe Conference & Exhibition, Apr. 20-24, 2009, pp. 442-447. |
Razavi, S.A., et al., “A Tileable Switch Module Architecture for Homogeneous 3D FPGAs,” IEEE International Conference on 3D System Integration (3DIC), Sep. 28-30, 2009, 4 pages. |
Bakir M., et al., “3D Device-Stacking Technology for Memory,” Chptr. 13.4, pp. 407-410, in “Integrated Interconnect Technologies for 3D Nano Electronic Systems”, 2009, Artech House. |
Weis, M. et al., “Stacked 3-Dimensional 6T Sram Cell with Independent Double Gate Transistors,” IC Design and Technology, May 18-20, 2009. |
Doucette, P., “Integrating Photonics: Hitachi, Oki Put LEDs on Silicon,” Solid State Technology, Jan. 2007, p. 22, vol. 50, No. 1. |
Luo, Z.S. et al., “Enhancement of (In, Ga)N Light-emitting Diode Performance by Laser Liftoff and Transfer from Sapphire to Silicon,” Photonics Technology Letters, Oct. 2002, pp. 1400-1402, vol. 14, No. 10. |
Zahler, J.M. et al., “Wafer Bonding and Layer Transfer Processes for High Efficiency Solar Cells,” NCPV and Solar Program Review Meeting, 2003, pp. 723-726. |
Kada, M., “Updated results of R&D on functionally innovative 3D-integrated circuit (dream chip) technology in FY2009”, (2010) International Microsystems Packaging Assembly and Circuits Technology Conference, Impact 2010 and International 3D IC Conference, Proceedings. |
Kada, M., “Development of functionally innovative 3D-integrated circuit (dream chip) technology / high-density 3D-integration technology for multifunctional devices”, (2009) IEEE International Conference on 3D System Integration, 3DIC 2009. |
Marchal, P., et al., “3-D technology assessment: Path-finding the technology/design sweet-spot”, (2009) Proceedings of the IEEE, 97 (1), pp. 96-107. |
Xie, Y., et al., “Design space exploration for 3D architectures”, (2006) ACM Journal on Emerging Technologies in Computing Systems, 2 (2), Apr. 2006, pp. 65-103. |
Souri, S., et al., “Multiple Si layers ICs: motivation, performance analysis, and design Implications”, (2000) Proceedings—Design Automation Conference, pp. 213-220. |
Vinet, M., et.al., “3D monolithic integration: Technological challenges and electrical results”, Microelectronic Engineering Apr. 2011 vol. 88, Issue 4, pp. 331-335. |
Bobba, S. et al., “CELONCEL: Effective Design Technique for 3-D Monolithic Integration targeting High Performance Integrated Circuits”, Asia pacific DAC 2011, paper 4A-4. |
Choudhury, D., “3D Integration Technologies for Emerging Microsystems”, IEEE Proceedings of the IMS 2010, pp. 1-4. |
Lee, Y.-J., et al., “3D 65nm CMOS with 320 Microwave Dopant Activation”, IEDM 2010, pp. 1-4. |
Crnogorac, F., et al., “Semiconductor crystal islands for three-dimensional integration”, J. Vac. Sci. Technol. B 28(6), Nov./Dec. 2010, pp. C6P53-C6P58. |
Park, J.-H., et al., “N-Channel Germanium MOSFET Fabricated Below 360 ○C by Cobalt-Induced Dopant Activation for Monolithic Three-Dimensional-ICs”, IEEE Electron Device Letters, vol. 32, No. 3, Mar. 2011, pp. 234-236. |
Jung, S.-M., et al., “Highly Area Efficient and Cost Effective Double Stacked S3( Stacked Single-crystal Si ) Peripheral CMOS SSTFT and SRAM Cell Technology for 512M bit density Sram”, IEDM 2003, pp. 265-268. |
Joyner, J.W., “Opportunities and Limitations of Three-dimensional Integration for Interconnect Design”, PhD Thesis, Georgia Institute of Technology, Jul. 2003. |
Choi, S.-J., “A Novel TFT with a Laterally Engineered Bandgap for of 3D Logic and Flash Memory”, 2010 Symposium of VLSI Technology Digest, pp. 111-112. |
Radu, I., et al., “Recent Developments of Cu-Cu non-thermo compression bonding for wafer-to-wafer 3D stacking”, IEEE 3D Systems Integration Conference (3DIC), Nov. 16-18, 2010. |
Gaudin, G., et al., “Low temperature direct wafer to wafer bonding for 3D integration”, 3D Systems Integration Conference (3DIC), IEEE, 2010, Munich, Nov. 16-18, 2010, pp. 1-4. |
Jung, S.-M., et al., ““Three Dimensionally Stacked NAND Flash Memory Technology Using Stacking Single Crystal Si Layers on ILD and TANOS Structure for Beyond 30nm Node””, IEDM 2006, Dec. 11-13, 2006. |
Souri, S. J., “Interconnect Performance in 3-Dimensional Integrated Circuits”, PHD Thesis, Stanford, Jul. 2003. |
Uemoto, Y., et al., “A High-Performance Stacked-CMOS SRAM Cell by Solid Phase Growth Technique”, Symposium on VLSI Technology, 2010, pp. 21-22. |
Jung, S.-M., et al., “Highly Cost Effective and High Performance 65nm S3( Stacked Single-crystal Si ) SRAM Technology with 25F2, 0.16um2 cell and doubly Stacked SSTFT Cell Transistors for Ultra High Density and High Speed Applications”, 2005 Symposium on VLSI Technology Digest of Technical papers, pp. 220-221. |
Steen, S.E., et al., “Overlay as the key to drive wafer scale 3D integration”, Microelectronic Engineering 84 (2007) 1412-1415. |
Maeda, N., et al., “Development of Sub 10-μm Ultra-Thinning Technology using Device Wafers for 3D Manufacturing of Terabit Memory”, 2010 Symposium on VLSI Technology Digest of Technical Papers, pp. 105-106. |
Chan, M., et al., “3-Dimensional Integration for Interconnect Reduction in for Nano-CMOS Technologies”, IEEE Tencon, Nov. 23, 2006, Hong Kong. |
Dong, X., et al., “Chapter 10: System-Level 3D IC Cost Analysis and Design Exploration”, in Xie, Y., et al., “Three-Dimensional Integrated Circuit Design”, book in series “Integrated Circuits and Systems” ed. A. Andrakasan, Springer 2010. |
Naito, T., et al., “World's first monolithic 3D-FPGA with TFT SRAM over 90nm 9 layer Cu CMOS”, 2010 Symposium on VLSI Technology Digest of Technical Papers, pp. 219-220. |
Bernard, E., et al., “Novel integration process and performances analysis of Low STandby Power (LSTP) 3D Multi-Channel CMOSFET (MCFET) on SOI with Metal / High-K Gate stack”, 2008 Symposium on VLSI Technology Digest of Technical Papers, pp. 16-17. |
Cong, J., et al., “Quantitative Studies of Impact of 3D IC Design on Repeater Usage”, Proceedings of International VLSI/ULSI Multilevel Interconnection Conference, pp. 344-348, 2008. |
Gutmann, R.J., et al., “Wafer-Level Three-Dimensional Monolithic Integration for Intelligent Wireless Terminals”, Journal of Semiconductor Technology and Science, vol. 4, No. 3, Sep. 2004, pp. 196-203. |
Crnogorac, F., et al., “Nano-graphoepitaxy of semiconductors for 3D integration”, Microelectronic Engineering 84 (2007) 891-894. |
Koyanagi, M, “Different Approaches to 3D Chips”, 3D IC Review, Stanford University, May 2005. |
Koyanagi, M, “Three-Dimensional Integration Technology and Integrated Systems”, ASPDAC 2009 presentation. |
Koyanagi, M., et al., “Three-Dimensional Integration Technology and Integrated Systems”, ASPDAC 2009, paper 4D-1, pp. 409-415. |
Hayashi, Y., et al., “A New Three Dimensional IC Fabrication Technology Stacking Thin Film Dual-CMOS Layers”, IEDM 1991, paper 25.6.1, pp. 657-660. |
Clavelier, L., et al., “Engineered Substrates for Future More Moore and More Than Moore Integrated Devices”, IEDM 2010, paper 2.6.1, pp. 42-45. |
Kim, K., “From The Future Si Technology Perspective: Challenges and Opportunities”, IEDM 2010, pp. 1.1.1-1.1.9. |
Ababei, C., et al., “Exploring Potential Benefits of 3D FPGA Integration”, in book by Becker, J.et al. Eds., “Field Programmable Logic 2004”, LNCS 3203, pp. 874-880, 2004, Springer-Verlag Berlin Heidelberg. |
Ramaswami, S., “3D TSV IC Processing”, 3DIC Technology Forum Semicon Taiwan 2010, Sep. 9, 2010. |
Davis, W.R., et al., “Demystifying 3D Ics: Pros and Cons of Going Vertical”, IEEE Design and Test of Computers, Nov-Dec. 2005, pp. 498-510. |
Lin, M., et al., “Performance Benefits of Monolithically Stacked 3DFPGA”, FPGA06, Feb. 22-24, 2006, Monterey, California, pp. 113-122. |
Dong, C., et al., “Performance and Power Evaluation of a 3D CMOS/Nanomaterial Reconfigurable Architecture”, ICCAD 2007, pp. 758-764. |
Gojman, B., et al., “3D Nanowire-Based Programmable Logic”, International Conference on Nano-Networks (Nanonets 2006), Sep. 14-16, 2006. |
Dong, C., et al., “3-D nFPGA: A Reconfigurable Architecture for 3-D CMOS/Nanomaterial Hybrid Digital Circuits”, IEEE Transactions on Circuits and Systems, vol. 54, No. 11, Nov. 2007, pp. 2489-2501. |
Golshani, N., et al., “Monolithic 3D Integration of SRAM and Image Sensor Using Two Layers of Single Grain Silicon”, 2010 IEEE International 3D Systems Integration Conference (3DIC), Nov. 16-18, 2010, pp1-4. |
Rajendran, B., et al., “Thermal Simulation of laser Annealing for 3D Integration”, Proceedings VMIC 2003. |
Woo, H.-J., et al., “Hydrogen Ion Implantation Mechanism in GaAs-on-insulator Wafer Formation by Ion-cut Process”, Journal of Semiconductor Technology and Science, vol. 6, No. 2, Jun. 2006, pp. 95-100. |
Sadaka, M., et al., “Building Blocks for wafer level 3D integration”, www.electroiq.com, Aug. 18, 2010, last accessed Aug. 18, 2010. |
Madan, N., et al., “Leveraging 3D Technology for Improved Reliability,” Proceedings of the 40th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2007), IEEE Computer Society. |
Hayashi, Y., et al., “Fabrication of Three Dimensional IC Using “Cumulatively Bonded IC” (Cubic) Technology”, 1990 Symposium on VLSI Technology, pp. 95-96. |
Akasaka, Y., “Three Dimensional IC Trends,” Proceedings of the IEEE, vol. 24, No. 12, Dec. 1986. |
Guarini, K. W., et al., “Electrical Integrity of State-of-the-Art 0.13um SOI Device and Circuits Transferred for Three-Dimensional (3D) Integrated Circuit (IC) Fabrication,” IEDM 2002, paper 16.6, pp. 943-945. |
Kunio, T., et al., “Three Dimensional Ics, Having Four Stacked Active Device Layers,” IEDM 1989, paper 34.6, pp. 837-840. |
Gaillardon, P-E., et al., “Can We Go Towards True 3-D Architectures?,” DAC 2011, paper 58, pp. 282-283. |
Yun, J-G., et al., “Single-Crystalline Si Stacked Array (STAR) NAND Flash Memory,” IEEE Transactions on Electron Devices, vol. 58, No. 4, Apr. 2011, pp. 1006-1014. |
Kim, Y., et al., “Three-Dimensional NAND Flash Architecture Design Based on Single-Crystalline Stacked Array,” IEEE Transactions on Electron Devices, vol. 59, No. 1, Jan. 2012, pp. 35-45. |
Goplen, B., et al., “Thermal Via Placement in 3DICs,” Proceedings of the International Symposium on Physical Design, Apr. 3-6, 2005, San Francisco. |
Bobba, S., et al., “Performance Analysis of 3-D Monolithic Integrated Circuits,” 2010 IEEE International 3D Systems Integration Conference (3DIC), Nov. 2010, Munich, pp. 1-4. |
Batude, P., et al., “Demonstration of low temperature 3D sequential FDSOI integration down to 50nm gate length,” 2011 Symposium on VLSI Technology Digest of Technical Papers, pp. 158-159. |
Batude, P., et al., “Advances, Challenges and Opportunties in 3D Cmos Sequential Integration,” 2011 IEEE International Electron Devices Meeting, paper 7.3, Dec. 2011, pp. 151-154. |
Yun, C. H., et al., “Transfer of patterned ion-cut silicon layers”, Applied Physics Letters, vol. 73, No. 19, Nov. 1998, pp. 2772-2774. |
Ishihara, R., et al., “Monolithic 3D-ICs with single grain Si thin film transistors,” Solid-State Electronics 71 (2012) pp. 80-87. |
Lee, S. Y., et al., “Architecture of 3D Memory Cell Array on 3D IC,” IEEE International Memory Workshop, May 20, 2012, Monterey, CA. |
Lee, S. Y., et al., “3D IC Architecture for High Density Memories,” IEEE International Memory Workshop, p. 1-6, May 2010. |
Rajendran, B., et al., “CMOS transistor processing compatible with monolithic 3-D Integration,” Proceedings VMIC 2005. |
Huet, K., “Ultra Low Thermal Budget Laser Thermal Annealing for 3D Semiconductor and Photovoltaic Applications,” NCCAVS 2012 Junction Technology Group, Semicon West, San Francisco, Jul. 12, 2012. |
Derakhshandeh, J., et al., “A Study of the CMP Effect on the Quality of Thin Silicon Films Crystallized by Using the u-Czochralski Process,” Journal of the Korean Physical Society, vol. 54, No. 1, 2009, pp. 432-436. |
Kim, J., et al., “A Stacked Memory Device on Logic 3D Technology for Ultra-high-density Data Storage,” Nanotechnology, vol. 22, 254006 (2011). |
Lee, K. W., et al., “Three-dimensional shared memory fabricated using wafer stacking technology,” IEDM Tech. Dig., 2000, pp. 165-168. |
Chen, H. Y., et al., “HfOx Based Vertical Resistive Random Access Memory for Cost Effective 3D Cross-Point Architecture without Cell Selector,” Proceedings IEDM 2012, pp. 497-499. |
Huet, K., et al., “Ultra Low Thermal Budget Anneals for 3D Memories: Access Device Formation,” Ion Implantation Technology 2012, AIP Conf Proceedings 1496, 135-138 (2012). |
Batude, P., et al., “3D Monolithic Integration,” ISCAS 2011 pp. 2233-2236. |
Batude, P., et al., “3D Sequential Integration: A Key Enabling Technology for Heterogeneous C-Integration of New Function With CMOS,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 2, No. 4, Dec. 2012, pp. 714-722. |
Vinet, M., et.al., “Germanium on Insulator and new 3D architectures opportunities for integration”, International Journal of Nanotechnology, vol. 7, No. 4, (Aug. 2010) pp. 304-319. |
Bernstein, K., et al., “Interconnects in the Third Dimension: Design Challenges for 3DICs,” Design Automation Conference, 2007, DAC'07, 44th ACM/IEEE, vol. no., pp. 562-567, Jun. 4-8, 2007. |
Kuroda, T., “ThruChip Interface for Heterogeneous Chip Stacking,” ElectroChemicalSociety Transactions, 50 (14) 63-68 (2012). |
Miura, N., et al., “A Scalable 3D Heterogeneous Multi-Core Processor with Inductive-Coupling ThruChip Interface,” IEEE Micro Cool Chips XVI, Yokohama, Apr. 17-19, 2013, pp. 1-3(2013). |
Kuroda, T., “Wireless Proximity Communications for 3D System Integration,” Future Directions in IC and Package Design Workshop, Oct. 29, 2007. |
Qiang, J-Q, “3-D Hyperintegration and Packaging Technologies for Micro-Nano Systems,” Proceedings of the IEEE, 97.1 (2009) pp. 18-30. |
Lee, B.H., et al., “A Novel Pattern Transfer Process for Bonded SOI Giga-bit DRAMs,” Proceedings 1996 IEEE International SOI Conference, Oct. 1996, pp. 114-115. |
Wu, B., et al., “Extreme ultraviolet lithography and three dimensional circuits,” Applied Physics Reviews, 1, 011104 (2014). |
Delhougne, R., et al., “First Demonstration of Monocrystalline Silicon Macaroni Channel for 3-D NAND Memory Devices” IEEE VLSI Tech Digest, 2018, pp. 203-204. |
Kim, J., et al.; “A stacked memory device on logic 3D technology for ultra-high-density data storage”; Nanotechnology 22 (2011) 254006 (7pp). |
Hsieh, P-Y, et al., “Monolithic 3D BEOL FinFET switch arrays using location-controlled-grain technique in voltage regulator with better FOM than 2D regulators”, IEDM paper 3.1, pp. IEDM19-46 to -49. |
Then, Han Wui, et al., “3D heterogeneous integration of high performance high-K metal gate GaN NMOS and Si PMOS transistors on 300mm high resistivity Si substrate for energy-efficient and compact power delivery, Rf (5G and beyond) and SoC applications”, IEDM 2019, paper 17.3, pp. IEDM19-402 to IEDM19-405. |
Rachmady, W., et al., “300mm Heterogeneous 3D Integration of Record Performance Layer Transfer Germanium PMOS with Silicon NMOS for Low Power High Performance Logic Applications”, IEDM 2019, paper 29.7, pp. IEDM19-697 to IEDM19-700. |
Number | Date | Country | |
---|---|---|---|
20240251572 A1 | Jul 2024 | US |
Number | Date | Country | |
---|---|---|---|
62297857 | Feb 2016 | US | |
62269950 | Dec 2015 | US | |
62258433 | Nov 2015 | US | |
62252448 | Nov 2015 | US | |
62221618 | Sep 2015 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 18385383 | Oct 2023 | US |
Child | 18592383 | US | |
Parent | 17367385 | Jul 2021 | US |
Child | 18385383 | US | |
Parent | 16786060 | Feb 2020 | US |
Child | 17367385 | US | |
Parent | 16377238 | Apr 2019 | US |
Child | 16786060 | US | |
Parent | 15911071 | Mar 2018 | US |
Child | 16377238 | US | |
Parent | 15344562 | Nov 2016 | US |
Child | 15911071 | US | |
Parent | 16797231 | Feb 2020 | US |
Child | 18592383 | Feb 2024 | US |
Parent | 16224674 | Dec 2018 | US |
Child | 16797231 | US | |
Parent | 15761426 | US | |
Child | 16224674 | US |