Large banks of cheap, fast, non-volatile, energy efficient, scalable solid-state memories are an increasingly common component for today's data-intensive computing. Conductive-bridge random access memory (CBRAM)—which involves voltage-driven formation and dissolution of electrically-conductive Cu or Ag filaments in a Cu (or Ag) anode/dielectric (HfO2 or Al2O3)/inert cathode device—possesses the necessary attributes to fit the requirements. Cu and Ag are, however, fast diffusers and known contaminants in silicon microelectronics.
The present disclosure generally relates to silicon compatible Sn-based cationic filamentary device.
In a first aspect, a cationic filamentary (CF) device is provided. The CF device includes a first electrode and a second electrode. The first electrode includes an electrochemically inert material. The second electrode includes an electrochemically active material. The electrochemically active material includes Sn. The CF device also includes an insulator disposed between the first electrode and the second electrode such that a positive voltage applied to the second electrode with respect to the first electrode causes formation of a conductive filament in the insulator extending from the second electrode toward the first electrode.
In a second aspect, a system is provided. The system includes a plurality of cationic filamentary devices disposed in a crossbar arrangement. Each cationic filamentary device of the plurality of cationic filamentary devices includes a first electrode, a second electrode, and an insulator disposed between the first electrode and the second electrode. The first electrode includes an electrochemically inert material. The second electrode includes an electrochemically active material. The electrochemically active material includes Sn.
In a third aspect, a method of manufacture of a cationic filamentary device is provided. The method includes depositing a first electrode on a substrate. The first electrode includes an electrochemically inert material. The method includes depositing an insulator on the first electrode. The method additionally includes depositing a second electrode on the insulator. The second electrode includes an electrochemically active material. The electrochemically active material includes Sn.
Other aspects, embodiments, and implementations will become apparent to those of ordinary skill in the art by reading the following detailed description, with reference where appropriate to the accompanying drawings.
Example methods, devices, and systems are described herein. It should be understood that the words “example” and “exemplary” are used herein to mean “serving as an example, instance, or illustration.” Any embodiment or feature described herein as being an “example” or “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments or features. Other embodiments can be utilized, and other changes can be made, without departing from the scope of the subject matter presented herein.
Thus, the example embodiments described herein are not meant to be limiting. Aspects of the present disclosure, as generally described herein, and illustrated in the figures, can be arranged, substituted, combined, separated, and designed in a wide variety of different configurations, all of which are contemplated herein.
Further, unless context suggests otherwise, the features illustrated in each of the figures may be used in combination with one another. Thus, the figures should be generally viewed as component aspects of one or more overall embodiments, with the understanding that not all illustrated features are necessary for each embodiment.
In the present disclosure, devices, systems, and methods are described that could provide a silicon CMOS-compatible replacement for Cu and Ag anodes in cationic filamentary (CF) devices.
Specifically, by employing a criterion for electrode metal selection applicable to cationic filamentary devices and using first principles calculations for estimating diffusion barriers in HfO2, tin (Sn) has been identified as a potential candidate for incorporation into a cationic filamentary device. Such Sn-based cationic filamentary devices have been fabricated and they demonstrate very fast, steep-slope memory switching as well as threshold switching, comparable to Cu or Ag-based devices. Furthermore, time evolution of the cationic filament formation along with the switching mechanism has been quantified based on time domain measurements (I vs. t) carried out under constant voltage stress. The time to threshold was shown to be a function of both the voltage stress (Vstress) as well as the initial leakage current (I0) through the device.
Resistive switching devices that utilize the formation of an electric field-driven conductive metallic filament in a dielectric layer are being extensively studied for non-volatile memory, as non-volatile switches in reconfigurable circuits and as synaptic elements in biologically inspired computing applications. A conductive-bridge random access memory (CBRAM) device an example of such a resistive switching device.
Conventionally, these device structures could include a dielectric oxide thin film such as HfO2 or Al2O3 (as switching matrix) and an inert (e.g., W or Pt) cathode and an electrochemically active (e.g., Cu or Ag) anode on either side of the dielectric oxide thin film. Under voltage bias, electrochemical migration of Cu or Ag ions from the anode leads to formation of a propagating conducting filament between the cathode and anode, leading to a non-volatile change in the resistance of the device. These cationic filamentary devices offer large (up to 10 orders of magnitude) high/low resistance ratio and excellent (low) cycle-to-cycle (C2C) variability.
Conventional CF type devices studied to date have been based on the diffusion of Cu and Ag ions for filament formation. However, these metals are known fast diffusers in silicon and present the risk of severe contamination when integrated into silicon circuitry. Overcoming this contamination issue requires introduction of diffusion barriers (as is done in Cu interconnect technology), in turn limiting design options and increasing complexity. For instance, in the cases where the memory element is connected in series with a silicon transistor or a selector device in order to suppress leakage currents, a fast diffuser such as Cu or Ag risks contaminating the transistor or selector.
In the present disclosure, a criterion—based on established and computed materials parameters—is provided for electrode metal selection applicable to cationic filamentary devices. Using this criterion, it is observed that alternative metals—such as Sn—can be used instead of Cu or Ag as the cationic filament forming element in CF structures. Furthermore, successful fabrication and reversible resistance switching has been demonstrated using Sn as the anode in CF devices, consistent with predictions. Unlike the aliovalent Cu and Ag, which create electronically active defect centers in Si, Sn offers the major advantage in being CMOS-friendly: it is isovalent with Si and can be incorporated in significant amounts on Si substitutional lattice sites without creating electrically active defects. It is also a slower diffuser in Si than Cu and Ag, for comparable temperature ranges reducing contamination risk.
Resistive switching phenomena in cationic filamentary devices have been demonstrated in many oxides, chalcogenides (sulfides, iodides, selenides, tellurides, ternary chalcogenides) and others (methylsilsesquioxane (MSQ), doped organic semiconductors, nitrides, amorphous Si, Carbon, vacuum gaps). However, all the above-listed demonstrations have involved changing the insulating matrix while restricting the anode (filament forming) metal to Cu or Ag. Here, a criterion—consisting of three material parameters—is provided that not only justifies the use of Cu or Ag as most common anode for cationic filamentary devices, but also suggests other viable candidate metals for such applications. Investigating other anode metals would allow more anode/insulator combinations, providing better performing devices and devices with specific characteristic features and functionality.
For low energy switching of non-volatile memory that utilizes filament formation, three components are considered, each relating to the energetic cost of creating a filament across the Metal-Insulator-Metal (MIM) stack. If the anode is in direct contact with the dielectric oxide, there is the energy cost of moving the metal atoms from the anode into the dielectric oxide. An indicator of this energy cost is the cohesive energy for the metal (Ec). If there is an interfacial anodic oxide layer between the anode metal and the dielectric (e.g., interfacial oxide 400 as illustrated in
In conventional CF devices, Ag and Cu have been very common choice of anode metal for cationic filamentary devices due to their small Ec and low ΔH.
This criterion can also be applied to other metals to determine their suitability for use as anode for formation of low energy cationic filament (e.g., filament formation 300 as illustrated in
Cohesive energy of Sn is slightly higher than Ag, but comparable to Cu. The heat of formation of SnO2 is moderately higher than Cu2O and Ag2O. DFT-based first principles calculations were conducted in order to estimate the activation barrier for Sn diffusion within HfO2.
Density functional theory (DFT) calculations were carried out using the Vienna Ab initio Simulation Package (VASP). The projector augmented wave method was applied to describe the interactions between valence electrons and frozen cores. An energy cutoff of 600 eV was used. All calculations used spin-polarized DFT. The Perdew-Burke-Emzerhof (PBE) form of the generalized gradient approximation (GGA) was used to describe the exchange and correlation interactions. The Gaussian smearing method with a width of 0.1 eV around the Fermi level was applied to facilitate convergence. The electronic energies were converged to 10−6 eV. Ionic relaxations were performed until the residual forces on ions were less than 0.02 eV A−1. A 1×1×1 Γ-centered k-point mesh was chosen to reduce the computational cost. The nudged elastic band (NEB) method with climbing images was used for diffusion energy barrier calculations. The charge density difference was computed for the transition state along the diffusion pathway. The system was divided into two subsystems for the charge density difference (CDD) calculations, using the Cu/Ag/Sn as one subsystem and the HfO2 as the second subsystem. Bader charges were also computed for the various ions in HfO2.
The results of the calculations indicate that the activation barrier for Sn diffusion (˜0.54 eV) within HfO2 is lower than that for Ag (0.72 eV) and Cu (1.16 eV). To understand this low barrier for Sn, further calculations describe the charge density difference and Bader charges for Sn at the transition state, namely the highest total energy state as it diffuses from one interstitial site to another. Compared to Cu and Ag, such calculations suggest a substantial amount of charge depletion for Sn at the transition state as it is repelled by its two nearest neighboring O atoms from both sides. This increased charge depletion leads to a much smaller ionic radii leading to faster Sn diffusion in HfO2 compared to Ag and Cu. The predicted low diffusion barrier for Sn in HfO2, coupled with the relatively low oxide heat of formation and cohesive energy suggest that Sn can potentially be a good candidate for filament-based non-volatile memories.
Current-voltage traces 1100 of
However, illustrated in
The threshold voltages observed in this study are ˜67% higher than devices based on similar thickness of HfO2 using Cu and Ag anodes. Although, the threshold values measured for such devices are higher than that of Cu and Ag based devices, it is not necessarily a drawback. Rather, in the case of a large array of 1S1R (1 selector-1 resistor) cell, such a property can be desirable. Too low threshold voltages have a drawback in not providing a sufficient operating window for large arrays of 1S1R. For example, in the case where Vth is too low (Vth<½Vcell), the selector could be unable to prevent leakage current from flowing into unselected cells. ½Vcell is the voltage applied to unselected cells. On the other hand, higher Vth can control the leakage current without disturbing the unselected cells. Nevertheless, threshold voltages are subject to the material stack and can be engineered to occur at lower values, if required, for low power applications e.g. by means of doping the switching matrix. Large numbers (100 sweeps) of consecutive DC cycles of the measured threshold switching were applied and the corresponding statistical distribution 1110 of Vth is illustrated in
It is desirable for selector switches to withstand the chip operating temperature. Experimental measurements demonstrated the multiple stable threshold switching measured at 90° C. Furthermore, the turn-on slope of resistive switching devices is an important parameter. A steep turn-on slope is important considering their possible use in large, dense crossbar array as well as in novel devices aimed at ultra-scaled operating voltages. The typical turn-on slope observed in Sn-based devices is about 8.75 mV per decade, being similar to turn-on slopes for Cu and Ag based devices, and is appropriate for non-volatile memory applications. There is experimental evidence in CBRAM devices that the pulse width required to trigger a set or reset event depends exponentially on the amplitude of the applied pulse. Considering this, a 4 V amplitude and 50 ns width pulse was applied with an external pulse generator, and the switching speed was found to be about 17 ns. Cu and Ag-based selector devices have shown switching speeds in the same order of magnitude. Thus Sn-based resistive switching devices offer similar advantages as Cu and Ag-based devices, but with less risk of contamination in a silicon chip fabrication environment.
In response to the modulation of compliance current (Icc), Sn-based devices exhibit coexistence of threshold and memory switching behavior. This is due to the inverse relationship between the read resistance (post the device turn ON) in the resistive switching device and the set compliance current commonly observed. Similar behavior has been reported in other resistive switching devices. This can be more simply understood in the case of cationic filamentary devices by considering that a larger compliance current would supply more metal ions to form a stronger conducting filament when the low resistance state occurs. This explanation is experimentally supported through observation of an increase in physical volume of the conducting filament with increased compliance current.
Sn2O being more stable under thermal stresses (considering Sn2O has more negative heat of oxide formation compared to Cu2O, Ag2O) than Cu2O and Ag2O, Sn-based devices are potentially advantageous in achieving stable resistive switching performance over a longer period of time than Cu or Ag electrodes. This is deduced from the fact that interfacial oxide between the anode and switching matrix plays an important role in filament formation, as described earlier. Retention of non-volatile states, lasting up to four weeks (for room temperature and 40 hours each for elevated temperatures) as tested, is already sufficient for certain neuromorphic applications involving short and medium term plasticity. Among the highest priority for CBRAM devices is the cycling endurance since this amongst the strongest concerns for the device reliability.
Experiments to determine the time dependent response of the measured current through the devices under constant voltage stress were conducted. The voltage stress was varied from 0.5 V to 2.5 V, the threshold at which the resistive state changes abruptly. The temporal response of the current followed three stages: (i) an initial decrease that varies as tn (with n˜−0.72 to −0.08 as the voltage increases from 0.5 V to 2.25 V). (ii) a gradual increase in current, followed by (iii) a sharp increase indicative of an abrupt change in the resistive state. For low voltages, stages (ii) and (iii) do not appear. This incubation time leading to stage (iii) is inversely proportional to the voltage. The initial decrease (stage (i)) has been associated with dielectric relaxation processes and the creation of charge traps. The slight increase in current in stage (ii) may be related to stress-induced-leakage-current (SILC). Stage (iii) is indicative of the formation of the conducting bridge.
As V increases, the time to reach stage (iii) i.e. the formation of the conducting filament, reduces. Measurements performed on a number of different devices resulted in varying amounts of starting current values for the respective devices. The differences in the starting currents are ascribed to small differences in the starting microstructure of the materials. A few key conclusions may be made from this data. Firstly, the observation of a time to threshold that is voltage dependent is consistent with a filament formation mechanism that is diffusive and activation energy barrier limited. The probability of a defect surmounting an energy barrier is given by:
P∝ve
(E
−qV)
/kT
where v is the frequency at which the charged defect (with charge q) attempts at “jumping” across the barrier, EB is the height of the energy barrier that is reduced by the application of an electrical potential V seen by the defect. Therefore, the higher the applied voltage across the film, the higher the rates at which the defect hops from site to site. Additionally, it is also seen that a certain minimum voltage (Vmin) is required to induce filament formation. For the devices tested, the minimum voltage stress required was ˜2.1 V.
The second observation addresses the issue of variability that is observed in all of the filamentary breakdown devices seen to date, and links the variability to differences in the starting local microstructure of the device. Experimental data indicates that the time required for filament formation as a function of two variables: the applied voltage (Vstress) and the starting current (I0) at time, t=0. The time to threshold is dependent on not only the Vstress, but also on the I0. Lower I0 and smaller Vstress results in longer time to threshold. This indicates that local microstructures from device to device are different—hence the different starting currents—and such differences clearly affect the filament formation. The observations are consistent with a model where the filament initiates at heterogeneous centers in the device that are created by variations in the oxide microstructure, and that their growth and configuration is different from device to device, leading to the observed variability.
In summary, the present disclosure provides a criterion for electrode metal selection applicable to cationic filamentary devices. In general, the criterion indicates that small cohesive energy (Ec), low heat of formation of metal oxide (ΔH) and small ionic radius are generally desirable for low energy cationic filament formation. Based on this criterion, it was then successfully identified and demonstrated the viability of Sn|HfO2 based CBRAM devices. Comparable device performance to Cu|HfO2 and Ag|HfO2 devices which include a turn-on voltage of ˜3.4 V, a steep turn-on slope (8.75 mV per decade) and very fast switching (17 ns), establishes Sn|HfO2 based CBRAM devices as a good alternative to Cu and Ag anodes. Sn, being isovalent with Si, has the distinct property of being compatible with Si CMOS technology, unlike Cu and Ag which are fast diffusers, contribute to electronic defect states, and require diffusion barriers and liners for incorporating into the back end of Si CMOS, and are likely incompatible for front-end applications. Use of Sn is well justified also by first principle calculations that elucidate the preferred atomistic pathways and lower diffusion barriers compared to Cu and Ag. Threshold and memory switching can be achieved by modulating the compliance current through the device. Time domain response to subthreshold voltage stress gives insights into the filament formation process, revealing the dependency of time to threshold on the applied voltage as well as the initial leakage current through the device.
Example devices will now be described in relation to certain Figures. In reference to
The first electrode 710 includes an electrochemically inert material. In some embodiments, the electrochemically inert material could include at least one of: W, Pt, Au, Mo, Co, Cr, Al, Ru, Ir, Sc, doped poly-Si. TiW, or TaN. The first electrode 710 could be a transparent conducting electrode made of a material such as indium tin oxide (ITO), fluorine doped tin oxide (FTO), and doped zinc oxide e. g. Al-doped ZnO. Other electrochemically inert materials are considered and possible. In some embodiments, a thickness of the first electrode 710 could be between 4 nm to 100 nm. However, in other embodiments, the thickness of the first electrode 710 could be lesser or greater than such a range.
The second electrode 704 includes an electrochemically active material. The electrochemically active material is Sn. In some embodiments, Sn could be present as a component of an alloy or a compound. In some embodiments, the second electrode 704 could have a thickness between 20 nm to 100 nm. Other thicknesses of the second electrode 704 are possible and contemplated.
In some embodiments, the insulator 706 includes at least one of: HfO2, Ta2O5, SiO2, WO3, MoOx, ZrO2, ZnO, SrTiO3, TiO2, CeOx, ZnO, Al2O3, MoOx, GdOx, or AlN. In some embodiments, a thickness of the insulator is between 1 nm to 10 nm. However, other insulator thicknesses are possible and contemplated.
As described herein, device 700 could be configured to form a conductive filament between the first electrode 710 and the second electrode 704. The conductive filament is configured to provide a bistable resistance behavior when an applied voltage is applied between the first electrode and the second electrode. In some embodiments, the bistable resistance behavior could include a unipolar, bidirectional resistance switching behavior when the applied voltage corresponds to one or more threshold voltages. For example, the bistable resistance behavior could include an ON state of the device 700 and an OFF state of the device 700. The ON state could include a low resistance state and the OFF state could include a high resistance state. Furthermore, in some embodiments, the ON state could occur, or be triggered, upon applying a voltage to the second electrode with respect to the first electrode that is greater than one or more threshold voltages.
In some embodiments, CF device 700 could include a field oxide 708 disposed on the first electrode 710. In such scenarios the field oxide 708 could include a lithographically-defined and etched window 709 to the first electrode 710. As an example, the window 709 could include a diameter between 50 nm to 100 μm. However, other diameters and/or shapes of the window 709 are possible and contemplated.
In such scenarios, the insulator 706 is disposed between the second electrode 704 and the first electrode 710 within the window 709.
In some example embodiments, CF device 700 could include a capping layer 702 disposed on the second electrode 704. In some embodiments, the capping layer 702 includes Au. However, other electrically conductive materials are contemplated for the capping layer 702.
Additionally or alternatively, in some embodiments, CF device 700 could include a substrate 712. The first electrode 710 is disposed on the substrate 712. In some embodiments, the substrate 712 includes a SiO2 layer. In other examples, the substrate 712 could be formed from other electrically-insulating materials.
Various systems will now be described in relation to one or more Figures. In reference to
In some embodiments, system 600 could include a substrate 612, a field oxide 608, and/or an insulator 606.
Each CF device also includes a second electrode (e.g., second electrode 704). In such scenarios, the second electrode includes an electrochemically active material. The electrochemically active material includes Sn. In some embodiments, Sn could be present as a component of an alloy or a compound. As an example, in some embodiments, the second electrode could consist of at least 10% Sn by weight or at least 50% Sn by weight. In other embodiments, the second electrode could consist of at least 75% Sn by weight or 95% Sn by weight. Other compositions of the second electrode are possible and contemplated. For example, in some embodiments, the weight percentage of Sn of the second electrode could be between 0%-100% of the overall second electrode mass.
Each CF device additionally includes an insulator (e.g., insulator 706) disposed between the first electrode and the second electrode. In some embodiments, the insulator could include at least one of: HfO2, Ta2O5, SiO2, WO3, MoOx, ZrO2, ZnO, SrTiO3, TiO2, CeOx, ZnO, Al2O3, MoOx, GdOx, or AlN.
In some embodiments, one or more of the first electrodes are electrically connected to a first electrode array 610. In such scenarios, the first electrode array 610 includes a plurality of first electrode bars 611a. 611b, 611c, 611d, and 611e.
Furthermore, in various embodiments, one or more of the second electrodes are electrically connected to a second electrode array 620. In some examples, the second electrode array 620 includes a plurality of second electrode bars 621a, 621b, 621c, 621d, and 621e.
In some embodiments, each CBRAM device of the plurality of CBRAM devices is configured to be individually electrically addressed by way of a combination of a respective first electrode bar (e.g., first electrode bar 611a, 611b, 611c, 611d, or 611e) and a respective second electrode bar (e.g., second electrode bar 621a, 621b, 621c, 621d, or 621e).
In example embodiments, the first electrode bars 611a, 611b. 611c, 611d, and 611e could be parallel to a first axis (e.g., the x-axis). In some embodiments, the second electrode bars 621a, 621b, 621c, 621d, and 621e could be parallel to a second axis (e.g., the y-axis). In some embodiments, the first axis is perpendicular to the second axis. In other words, the first electrode bars and the second electrode bars could form a cross bar network. It will be understood that other geometries are possible and contemplated to provide individual electrical connections to a plurality of CF devices.
As described herein, in some embodiments, one of the first electrode or the second electrode of a given CBRAM device could be connected to a corresponding first electrode bar and/or the second electrode bar via at least one transistor. For example, the at least one transistor could be connected to the CF device in series. The at least one transistor could provide a controllably switchable coupling between the CF device and the crossbar array (e.g., a 1S1R (1 selector-1 resistor) cell).
Method 1400 could include a method of manufacture of a cationic filamentary (CF) device and/or crossbar system, such as described within the context of the present disclosure. For example, method 1400 could be carried out to form some or all of the elements of system 600 and/or CF device 700, which are illustrated and described in relation to
Block 1402 in includes depositing a first electrode (e.g., first electrode 710) on a substrate (e.g., substrate 712). The first electrode includes an electrochemically inert material. In such scenarios, the electrochemically inert material could include at least one of W, Pt, Au, Mo, Co, Cr, Al, Ru, Ir, Sc, doped poly-Si, TiW, or TaN, and other transparent conducting electrode materials such as indium tin oxide (ITO), fluorine doped tin oxide (FTO), and doped zinc oxide e. g. Al-doped ZnO. In some embodiments, the first electrode could be deposited using an electron beam or RF sputtering process. Other ways to deposit the first electrode are possible and contemplated.
In an example embodiment, the substrate includes Si, however, other substrate materials are possible. For example, the substrate could include Ge, C, GaAs, GaSb, InAs, or another semiconductor substrate material.
Block 1404 includes depositing an insulator (e.g., insulator 706) on at least a portion of the first electrode. In some embodiments, the insulator could include one or more of: HfO2, Ta2O5, SiO2, WO3, MoOx, ZrO2, ZnO, SrTiO3, TiO2, CeOx, ZnO, Al2O3, MoOx, GdOx, or AlN. In various embodiments, depositing the insulator could be performed with an atomic layer deposition (ALD) system. However, the insulator could also be deposited using a chemical vapor deposition (CVD) process. Other ways to deposit the insulator are contemplated and possible.
Block 1406 includes depositing a second electrode (e.g., second electrode 704) on the insulator. The second electrode includes an electrochemically active material. In some scenarios, the electrochemically active material includes Sn. In some embodiments, Sn could be present as a component of an alloy or a compound. The electrochemically active material could be deposited using a sputtering technique or a CVD technique.
Method 1400 could include depositing a SiO2 layer on the substrate. For example, prior to depositing the first electrode, the SiO2 could be deposited using wet or dry oxidation process or a CVD technique. Other methods to deposit the SiO2 layer are possible and contemplated.
In some embodiments, method 1400 could also include depositing a capping layer on the second electrode. In such scenarios, the capping layer could include Au. However, other materials are contemplated for the capping layer. In some embodiments, the capping layer could be deposited using a metal deposition technique, such as electron beam sputtering or a metal plating technique.
In various embodiments, method 1400 could include depositing a field oxide on the insulator. In some embodiments, the field oxide could be deposited using a PECVD oxide deposition process. In other embodiments, the field oxide could be deposited using a wet or dry oxidation process. It will be understood that other ways to deposit an insulating field oxide are possible and contemplated.
Method 1400 could additionally include lithographically-defining and etching a window through the field oxide to the first electrode. In some embodiments, the field oxide could be patterned and removed by way of photolithography and a wet and/or dry oxide etchback process. In other embodiments, electron beam lithography or another type of direct beam lithography could be utilized.
As described elsewhere herein, in some embodiments, the method 1400 is compatible with Si CMOS fabrication processes. That is, the constituent device materials and related fabrication steps to deposit and define those materials could be specifically selected and/or developed so as to avoid damage or performance degradation to Si CMOS devices. Furthermore, method 1400 could be integrated in to a Si CMOS fabrication process so as to provide CF devices along with Si CMOS devices on the same substrate. As such, method 1400 could be performed in a semiconductor cleanroom or a similar semiconductor device processing environment.
The particular arrangements shown in the Figures should not be viewed as limiting. It should be understood that other embodiments may include more or less of each element shown in a given Figure. Further, some of the illustrated elements may be combined or omitted. Yet further, an illustrative embodiment may include elements that are not illustrated in the Figures.
While various examples and embodiments have been disclosed, other examples and embodiments will be apparent to those skilled in the art. The various disclosed examples and embodiments are for purposes of illustration and are not intended to be limiting, with the true scope being indicated by the following claims.
The present patent application claims priority to U.S. Provisional Application No. 62/656,697 filed Apr. 12, 2018, the contents of which are hereby incorporated by reference.
This invention was made with government support under DE-AC02-06CH11357 awarded by the Department of Energy and government support under 1640081 awarded by the National Science Foundation. The government has certain rights in the invention.
Filing Document | Filing Date | Country | Kind |
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PCT/US2019/027145 | 4/12/2019 | WO | 00 |
Number | Date | Country | |
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62656697 | Apr 2018 | US |