The described embodiments relate to wafer positioning systems and methods, and more particularly to methods and systems for improved high throughput positioning of wafers in a manufacturing environment.
The various features and multiple structural levels of semiconductor devices such as logic and memory devices are typically fabricated by a sequence of processing steps applied to a specimen. For example, lithography among others is one semiconductor fabrication process that involves generating a pattern on a semiconductor wafer. Additional examples of semiconductor fabrication processes include, but are not limited to, chemical-mechanical polishing, etch, deposition, and ion implantation. Multiple semiconductor devices may be fabricated on a single semiconductor wafer and then separated into individual semiconductor devices.
Metrology processes are used at various steps during a semiconductor manufacturing process to detect defects on wafers to promote higher yield. Optical metrology techniques offer the potential for high throughput without the risk of sample destruction. A number of optical metrology based techniques including scatterometry, reflectometry, and ellipsometry implementations and associated analysis algorithms are commonly used to characterize critical dimensions, film thicknesses, composition and other parameters of nanoscale structures.
As devices (e.g., logic and memory devices) move toward smaller nanometer-scale dimensions, characterization becomes more difficult. Devices incorporating complex three-dimensional geometry and materials with diverse physical properties contribute to characterization difficulty. In response, more complex optical tools have been developed. For example, tools with multiple angles of illumination, shorter and broader ranges of illumination wavelengths, and more complete information acquisition from reflected signals (e.g., measuring multiple Mueller matrix elements in addition to the more conventional reflectivity or ellipsometric signals) have been developed.
As devices move toward smaller nanometer-scale dimensions, commercially viable optically based measurement tools must position samples faster and with greater accuracy. Typically, a wafer position system must move a semiconductor wafer over a long distance in two dimensions, typically referred to as the X and Y directions. To quickly move over long distances and accurately locate a wafer under measurement in a short amount of time requires a large amount of driving force. These forces are typically generated by linear electric motors. However, linear motors capable of generating large forces generate a significant amount of heat. Available wafer positioning systems suffer from significant limitations on achievable positioning accuracy due to thermal distortions induced by the heat generated by the linear motors.
Available wafer positioning systems typically employ low thermal conductivity materials in an attempt to thermally isolate sensitive stage frame elements from the heat generated by the linear motors. Unfortunately, it is common to observe temperature increases of at least one degree Centigrade across sensitive stage frame elements. These temperature changes induce significant deformations across sensitive stage frame elements, causing degradation of accuracy. In addition, sensitive stage frame elements often include different materials having significantly different coefficients of thermal expansion (CTE). The mismatched CTEs, along with the change in temperature, induce significant internal strain and associated deformations within the sensitive stage frame elements, which further degrades stage positioning accuracy.
As depicted in
An ironless, U-channel linear motor is an inherently smooth operating motor due to the lack of iron in the ironless motor assembly 15. There are no significant magnetic attraction forces generated between the ironless motor assembly 15 and U-channel magnet track 14. As such, the ironless motor assembly 15 is able to operate within the U-channel at any relative position with respect to the permanent magnets of the magnet track 14 without creating substantial off-axis forces. In addition, the magnetic field generated across the U-channel is relatively undisturbed by the ironless motor assembly 15. Thus, the position dependence of the driving force generated between the ironless motor assembly 15 and U-channel magnet track 14 is relatively smooth and predictable. As such, a relatively simple control algorithm can be employed to distribute current through the coils of ironless motor assembly 15 such that the driving force generated between the ironless motor assembly 15 and U-channel magnet track 14 is nearly position independent.
Unfortunately, an ironless, U-channel linear motor also has some inherent limitations that negatively affect the achievable accuracy and throughput of a wafer positioning system, such as wafer positioning system 10 depicted in
As depicted in
Unfortunately, the presence of ferrous content in the iron-core motor assembly 25 gives rise to a large attraction force between the magnet track 24 and the iron-core motor assembly 25 of an iron-core linear motor. As illustrated in
Finally, as depicted in
Future metrology applications present challenges for metrology due to increasingly high measurement resolution and throughput requirements. Wafer positioning systems with higher accuracy and throughput capability are desired.
Methods and systems for realizing a high throughput wafer positioning system with high positioning accuracy are presented herein. The high throughput, high accuracy wafer positioning system is employed to measure structural and material characteristics (e.g., material composition, dimensional characteristics of structures and films, etc.) associated with different semiconductor fabrication processes.
In one aspect, iron core linear motor assemblies are arranged in a magnetically opposed configuration such that the magnetic attraction forces inherent to each opposing iron core linear motor assembly largely cancel one another. Thus, the net force applied to sensitive stage frame elements due to the magnetic attraction forces is negligible. The reduced force applied to sensitive stage frame elements, in turn, reduces induced deformations and stage positioning errors. Furthermore, the forces applied to bearing elements required to constrain the position of sensitive stage frame elements are also dramatically reduced.
In a further aspect, a wafer positioning system includes a second long stroke stage stacked on top of a magnetically opposed long stroke stage. In some embodiments, both stacked long stroke stages are configured as magnetically opposed stages. In some of these embodiments, both magnetically opposed long stroke stages employ magnet tracks mechanically coupled to the intermediate frame of the stacked stage assembly. As a result, the intermediate frame is thermally isolated from the heat generated by the iron-core motor assemblies of both long stroke stages by the magnetic gaps between the iron-core motor assemblies and the corresponding magnet tracks.
In a further aspect, an iron-core linear motor assembly includes one or more cooling channels within a housing of the assembly. A gaseous or liquid cooling fluid is pumped through the cooling channels to extract heat from the iron-core linear motor assembly.
In another further aspect, an iron-core linear motor assembly arranged as a moving magnet motor includes multiple sets of electrical coils each wired in series and driven by a separate electrical current driver operating at a different phase to minimize thermal transients during operation.
In a further aspect, measurements of one or more structures disposed on a semiconductor wafer are performed while positioning the wafer with a magnetically opposed, iron-core wafer positioning system. In general, any suitable model-based or modeless metrology technique may be employed to perform measurements of structures positioned by a magnetically opposed, iron-core wafer positioning system in accordance with the methods and systems described herein.
The foregoing is a summary and thus contains, by necessity, simplifications, generalizations and omissions of detail; consequently, those skilled in the art will appreciate that the summary is illustrative only and is not limiting in any way. Other aspects, inventive features, and advantages of the devices and/or processes described herein will become apparent in the non-limiting detailed description set forth herein.
Reference will now be made in detail to background examples and some embodiments of the invention, examples of which are illustrated in the accompanying drawings.
Methods and systems for realizing a high throughput wafer positioning system with high positioning accuracy are presented herein. The high throughput, high accuracy wafer positioning system is employed to measure structural and material characteristics (e.g., material composition, dimensional characteristics of structures and films, etc.) associated with different semiconductor fabrication processes.
In one aspect, iron core linear motor assemblies are arranged in a magnetically opposed configuration such that the magnetic attraction forces inherent to each opposing iron core linear motor assembly largely cancel one another. Thus, the net force applied to sensitive stage frame elements due to the magnetic attraction forces is negligible. The reduced force applied to sensitive stage frame elements, in turn, reduces induced deformations and stage positioning errors. Furthermore, the forces applied to bearing elements required to constrain the position of sensitive stage frame elements are also dramatically reduced. This increases bearing lifetime and enables the implementation of smaller bearing elements, which reduces induced friction and bearing induced positioning jitter.
In the embodiment depicted in
Magnet track 125A includes multiple permanent magnets attached to a magnetic backing plate mechanically fixed to the intermediate frame 122. This assembly generates a magnetic field in the space adjacent to magnet track 125A. As depicted in
The iron-core motor assemblies 124A-B include multiple electrically conductive wire coils each wrapped around a ferrous post. Each ferrous post is fabricated as part of a larger ferrous structure. In some examples, the copper coils are embedded in an epoxy matrix material that fills the space around the conductive wire coils and the ferrous structure.
As depicted in
As described hereinbefore, an iron-core linear motor is able to generate a larger driving force with less heat generation compared to a U-channel, ironless linear motor. However, the presence of ferrous content in the iron-core motor assemblies 124A-B gives rise to large attraction forces between magnet tracks 125A-B and iron-core motor assemblies 124A-B. As illustrated in
In general, the magnetic attraction force of an iron-core linear motor is largely dependent on the magnetic flux density in the gap between the magnet track and the iron-core motor assembly, which, in turn, strongly depends on the size of the gap. In practice, wafer positioning stage 120 is designed to maintain a constant gap between magnet track 125A and iron-core motor assembly 124A that is similar to a constant gap between magnet track 125B and iron-core motor assembly 124B. The gaps are dictated by machine tolerances and maintained by linear bearings 123 over the workspace of wafer positioning stage 120. Assuming similar gaps are maintained, the magnetic attraction forces, FM1 and FM2, are approximately the same, and cancel each other. As a result, the residual force applied to intermediate frame 122 due to magnetic attraction forces, FM1 and FM2, is negligible, along with any residual bending moment applied to intermediate frame 122. This dramatically reduces any induced deformation of intermediate frame 122, which, in turn, results in increased wafer positioning accuracy.
In addition, the forces applied to linear bearings 123 are dramatically reduced because the magnetic attraction forces, FM1 and FM2, largely cancel one another. As a result, much smaller linear bearings can be employed. For mechanical bearings, a smaller size bearing can be employed without sacrificing bearing lifetime. Smaller sized mechanical bearings operate with reduced friction and reduced positioning jitter. This enables improved stage positioning repeatability and reduced settling times.
Finally, as depicted in
In a further aspect, a wafer positioning system includes a second long stroke stage stacked on top of a magnetically opposed long stroke stage, such as the magnetically opposed long stroke stage depicted in
As depicted in
In the embodiment depicted in
The iron-core motor assemblies 144A-B include multiple electrically conductive wire coils each wrapped around a ferrous post. Each ferrous post is fabricated as part of a larger ferrous structure. In some examples, the copper coils are embedded in an epoxy matrix material that fills the space around the conductive wire coils and the ferrous structure.
As depicted in
The presence of ferrous content in the iron-core motor assemblies 144A-B gives rise to large attraction forces between magnet tracks 145A-B and iron-core motor assemblies 144A-B. A magnetic attraction force acts on iron-core motor assembly 144A in the negative YWF-direction due to the magnetic interaction between iron-core motor assembly 144A and magnet track 145A. Similarly, a magnetic attraction force acts on iron-core motor assembly 144B in the positive YWF-direction due to the magnetic interaction between iron-core motor assembly 144B and magnet track 145B. Since, the magnetic attraction forces act in opposite directions on iron-core motor assemblies 144A-B, respectively, and both iron-core motor assemblies 144A-B are mechanically fixed to wafer frame 142, the magnetic attraction forces cancel one another. Assuming similar gaps are maintained between iron-core motor assemblies 144A-B and magnet tracks 145A-B, respectively, the residual force applied to wafer frame 142 due to the magnetic attraction forces is negligible, along with any residual bending moment applied to wafer frame 142. This dramatically reduces any induced deformation of wafer frame 142, which, in turn, results in increased wafer positioning accuracy.
In addition, the forces applied to linear bearings 143 are dramatically reduced because the magnetic attraction forces largely cancel one another. As a result, much smaller linear bearings can be employed. For mechanical bearings, a smaller size bearing can be employed without sacrificing bearing lifetime. Smaller sized mechanical bearings operate with reduced friction and reduced positioning jitter. This enables improved stage positioning repeatability and reduced settling times.
Finally, as depicted in
As depicted in
The coefficient of thermal expansion (CTE) of the steel structure of linear bearings 143 is not matched with the coefficient of thermal expansion of the aluminum intermediate plate 122. However, in the embodiment depicted in
Wafer positioning system 150 includes two stacked, magnetically opposed long stroke stages. Each magnetically opposed, long stroke stage is able to move the wafer over a distance of at least 300 millimeters in the long stroke direction, i.e., the X and Y directions. Wafer positioning system 150 is able to position a wafer at any location in the workspace with a repeatability of less than 300 nanometers. To meet the high throughput requirements of a semiconductor fabrication facility, the wafer positioning system is able to generate high accelerations in both the X and Y directions. In some embodiments, wafer positioning system 150 accelerates a wafer with an acceleration of at least 30 meters/sec2. In some embodiments, wafer positioning system 150 accelerates a wafer with an acceleration greater than 50 meters/sec2. The moving mass of the Y-stage, i.e., the sum of the mass of the intermediate frame 122 and all components carried by the intermediate frame 122 is large, e.g., more than 40 kilograms. To accelerate such a mass at an acceleration of at least 30 meters/sec2, iron-core linear motor assemblies 124A and 124B each generate at least 600 Newtons of force, continuously. To generate such large forces, iron-core linear motor assemblies 124A and 124B each generate a significant amount of heat.
In a further aspect, an iron-core linear motor assembly includes one or more cooling channels within a housing of the assembly. A gaseous or liquid cooling fluid is pumped through the cooling channels to extract heat from the iron-core linear motor assembly.
As described hereinbefore, the iron-core linear motor assemblies 124A-B of wafer positioning system 150 generate the most heat due to the high acceleration requirements and high payload of the long stroke Y-stage. As such, a significant amount of cooling fluid, either gaseous or fluid, is circulated through cooling channels of iron-core linear motor assemblies 124A-B. The cooling channels of iron-core linear motor assemblies 124A-B are directly coupled to the source of cooling fluid, e.g., a heat exchanger, a house supplied cooling source, etc. The direct connection is possible because the iron-core linear motor assemblies 124A-B are mechanically coupled to the stage base frame 121, which is not moving substantially with respect to the measurement system frame sitting in the wafer fabrication facility.
In some other embodiments, the iron-core linear motor assemblies 124A-B of wafer positioning system 150 are mounted to the intermediate plate 122. In these embodiments, flexible tubes are required to supply the cooling fluid to the iron-core linear motor assemblies 124 as the intermediate plate 122 moves with respect to the stage base frame 121. This embodiment is not preferred because the reliability of the flexible tubes is low and the substantial mass and hysteretic nature of the flexible tubes negatively impacts positioning accuracy and settling times of the wafer positioning system.
In some embodiments, flexible tubes are required to supply the cooling fluid to iron-core linear motor assemblies 144A-B of wafer positioning system 150. Although, it is preferred not to provide cooling to the X-stage, the amount of moving mass of the X-stage is much smaller than the Y-stage. As a result, the amount of cooling required is much smaller along with the size of the flexible tubes that must be routed from the stage base frame 101 to wafer frame 142 via intermediate frame 122. As a result, the force disturbance to wafer frame 142 from the flexible tubes is limited, and does not substantially affect the positioning accuracy and settling times of the wafer positioning system.
In a further aspect, an iron-core linear motor assembly arranged as a moving magnet motor includes multiple sets of electrical coils each wired in series and driven by a separate electrical current driver operating at a different phase to minimize thermal transients during operation of wafer positioning system 150.
As depicted in
As depicted in
In some other embodiments, each adjacent coil operates independently in a different electrical phase to enable the moving portion of the linear motor to travel over its full stroke. In this approach, the current flow through each electrical coil is independently controlled based on the position of the mover with respect to the stator element of the linear motor. This control approach is commonly referred to as coil switching. In these embodiments, current is only supplied to electrical coils that are positioned opposite a magnet track, and thus, are able to generate significant driving force. This approach results in less overall heat generation, but the heating is not uniform along the full length of the iron-core linear motor assembly. In general, the impact of non-uniform heating on overall positioning accuracy exceeds the impact of overall heating on overall positioning accuracy.
Iron-core linear motor assembly 160 is a three phase motor, i.e., three different sets of coils are wired in series and are driven by a separate electrical current driver operating one hundred and twenty degrees out of phase from the other sets of coils. However, in general, an iron-core linear motor assembly may be configured to operate in any number of different phases.
In general, the stage base frame of a magnetically opposed, iron-core wafer positioning system is attached to the machine frame of a measurement system. In this manner, the magnetically opposed, iron-core wafer positioning system is configured to accurately position a wafer under measurement with respect to optical subsystem of the measurement system.
In this aspect, system 100 includes a spectroscopic ellipsometer 101 equipped with an illuminator 102 and a spectrometer 104. The illuminator 102 of the system 100 is configured to generate and direct illumination of a selected wavelength range (e.g., 100 nanometers-20 micrometers) to the one or more structures 112 disposed on the surface of the semiconductor wafer 114. In turn, the spectrometer 104 is configured to receive light from the surface of the semiconductor wafer 114. It is further noted that the light emerging from the illuminator 102 is polarized using a polarization state generator 107 to produce a polarized illumination beam 106. The radiation reflected by the structure 114 disposed on the wafer 112 is passed through a polarization state analyzer 109 and to the spectrometer 104. The radiation received by the spectrometer 104 in the collection beam 108 is analyzed with regard to polarization state, allowing for spectral analysis of radiation passed by the analyzer. The detected spectra 111 are passed to the computing system 130 for analysis of the one or more structures 112.
As depicted in
In one aspect, spectral ellipsometry measurements are performed while wafer 114 is located at the desired position with respect to spectrometer 101. The measurement data 111 collected from the measurements is communicated to computing system 130 and an estimate of one or more structural parameters of interest 115 is made based on the collected measurement data. Computing system 130 is configured to receive measurement data 111 associated with a measurement (e.g., critical dimension, film thickness, concentration, composition, process, etc.) of one or more structures 112 disposed on wafer 114. In one example, the measurement data 111 includes an indication of the measured spectral response of the specimen by measurement system 100 based on the one or more sampling processes from the spectrometer 104. In some embodiments, computing system 130 is further configured to determine specimen parameter values 115 of structure 112 from measurement data 111. In one example, the computing system 130 is configured to access model parameters in real-time, employing Real Time Critical Dimensioning (RTCD), or it may access libraries of pre-computed models for determining a value of at least one parameter of interest associated with the target structure 112. In some embodiments, the estimated values of the one or more parameters of interest are stored in a memory (e.g., memory 132). In the embodiment depicted in
In general, ellipsometry is an indirect method of measuring physical properties of the specimen under inspection. In most cases, the raw measurement signals (e.g., αmeas and βmeas) cannot be used to directly determine the physical properties of the specimen. The nominal measurement process consists of parameterization of the structure (e.g., film thicknesses, critical dimensions, material properties, etc.) and the machine (e.g., wavelengths, angles of incidence, polarization angles, etc.). A measurement model is created that attempts to predict the measured values (e.g., (αmeas and βmeas). As illustrated in equations (1) and (2), the model includes parameters associated with the machine (Pmachine) and the specimen (Pspecimen).
αmodel=f(Pmachine,Pspecimen) (1)
βmodel=g(Pmachine,Pspecimen) (2)
Machine parameters are parameters used to characterize the metrology tool (e.g., ellipsometer 101). Exemplary machine parameters include angle of incidence (AOI), analyzer angle (A0), polarizer angle (P0), illumination wavelength, numerical aperture (NA), compensator or waveplate (if present), etc. Specimen parameters are parameters used to characterize the specimen (e.g., wafer 114 including structures 112). For a thin film specimen, exemplary specimen parameters include refractive index, dielectric function tensor, nominal layer thickness of all layers, layer sequence, etc. For a CD specimen, exemplary specimen parameters include geometric parameter values associated with different layers, refractive indices associated with different layers, etc. For measurement purposes, the machine parameters are treated as known, fixed parameters and one or more of the specimen parameters are treated as unknown, floating parameters.
In some examples, the floating parameters are resolved by an iterative process (e.g., regression) that produces the best fit between theoretical predictions and experimental data. The unknown specimen parameters, Pspecimen, are varied and the model output values (e.g., αmodel and βmodel) are calculated until a set of specimen parameter values are determined that results in a close match between the model output values and the experimentally measured values (e.g., (αmeas and βmeas). In a model based measurement application such as spectroscopic ellipsometry on a CD specimen, a regression process (e.g., ordinary least squares regression) is employed to identify specimen parameter values that minimize the differences between the model output values and the experimentally measured values for a fixed set of machine parameter values.
In some examples, the floating parameters are resolved by a search through a library of pre-computed solutions to find the closest match. In a model based measurement application such as spectroscopic ellipsometry on a CD specimen, a library search process is employed to identify specimen parameter values that minimize the differences between pre-computed output values and the experimentally measured values for a fixed set of machine parameter values.
In a model-based measurement application, simplifying assumptions often are required to maintain sufficient throughput. In some examples, the truncation order of a Rigorous Coupled Wave Analysis (RCWA) must be reduced to minimize compute time. In another example, the number or complexity of library functions is reduced to minimize search time. In another example, the number of floating parameters is reduced by fixing certain parameter values. In some examples, these simplifying assumptions lead to unacceptable errors in the estimation of values of one or more parameters of interest (e.g., critical dimension parameters, overlay parameters, etc.). By performing measurements of structures subject to gaseous adsorption as described herein, the model-based measurement model can be solved with reduced parameter correlations and increased measurement accuracy.
In general, spectroscopic ellipsometer 101 may employ any architecture suitable to measure a modulation of optical properties, e.g., dielectric function, bandgap, etc. By way of non-limiting example, spectroscopic ellipsometer 101 may be configured with a rotating polarizer, rotating compensator, or any combination thereof.
Furthermore, the embodiments of the system 100 illustrated in
Angle resolved spectroscopic reflectometer 200 includes polarizer 204, objective 201, analyzer 210, and spectrometer 212. As depicted in
In some embodiments, polarizer 204 is configured to selectively rotate a polarizing element about the optical axis of the illumination light beam 220. In general, polarizer 204 may include any polarizing element and system to rotate the polarizing element known in the art. For example, the polarizer 204 may include a polarizing element mechanically coupled to a rotational actuator. In one example, the polarizing element may be a Rochon prism. In another example, the polarizing element may include a beam displacer. Polarizer 204 is configured to operate within system 200 in either a rotationally active or rotationally inactive state. In one instance, a rotational actuator of polarizer 204 may be inactive such that the polarizing element remains rotationally fixed about the optical axis of illumination light 220. In another instance, the rotational actuator may rotate the polarizing element at a selected angular frequency, ωp, about the optical axis of the illumination light.
In some other embodiments, polarizer 204 is configured with a fixed polarization angle about the optical axis of the illumination light beam 220.
As depicted in
In the embodiment depicted in
The interaction of the focused, polarized light beam 221 with wafer 114 modifies the polarization of the radiation by any of reflection, scattering, diffraction, transmission, or other types of processes. After interaction with the wafer 114, modified light 222 is collected by objective 201 and directed to beamsplitter 206. Beamsplitter 206 is configured to transmit modified light 222 toward analyzer 210. In the embodiment depicted in
As depicted in
Spectroscopic reflectometer 300 includes polarizer 304, analyzer 310, and spectrometer 312. As depicted in
In some embodiments, polarizer 304 is configured to selectively rotate a polarizing element about the optical axis of the illumination light beam 320. In general, polarizer 304 may include any polarizing element and system to rotate the polarizing element known in the art. For example, the polarizer 304 may include a polarizing element mechanically coupled to a rotational actuator. In one example, the polarizing element may be a Rochon prism. In another example, the polarizing element may include a beam displacer. Polarizer 304 is configured to operate within system 300 in either a rotationally active or rotationally inactive state. In one instance, a rotational actuator of polarizer 304 may be inactive such that the polarizing element remains rotationally fixed about the optical axis of illumination light 320. In another instance, the rotational actuator may rotate the polarizing element at a selected angular frequency, co p, about the optical axis of the illumination light.
In some other embodiments, polarizer 304 is configured with a fixed polarization angle about the optical axis of the illumination light beam 320.
As depicted in
The interaction of the polarized light beam 221 with wafer 114 modifies the polarization of the radiation by any of reflection, scattering, diffraction, transmission, or other types of processes. After interaction with the wafer 114, modified light 322 is directed to beamsplitter 306. Beamsplitter 306 is configured to transmit modified light 322 toward analyzer 310. In the embodiment depicted in
As depicted in
Although reflectometer systems 200 and 300 include polarization optics, in general, reflectometer system 200 and 300 may not include polarization optics.
In general, a measurement system may include any combination of spectroscopic ellipsometry measurements, spectral reflectometry measurements, and angle resolved spectral reflectometry measurements employing a magnetically opposed, iron-core wafer positioning system. The measurements may be performed sequentially or simultaneously.
In the embodiments depicted in
Suitable metrology techniques include, but are not limited to, spectroscopic ellipsometry and spectroscopic reflectometry, including single wavelength, multiple wavelength, and angle resolved implementations, spectroscopic scatterometry, scatterometry overlay, beam profile reflectometry and beam profile ellipsometry, including angle-resolved and polarization-resolved implementations may be contemplated, individually, or in any combination.
In block 301, a first moving frame is positioned with respect to a base frame along a first axis. A first magnet assembly and a second magnet assembly are mechanically coupled to the first moving frame. A first iron core linear motor assembly and a second iron core linear motor assembly are mechanically coupled to the base frame. The first iron core linear motor assembly is disposed adjacent to the first magnet assembly. The first iron core linear motor assembly and the first magnet assembly are physically separated by a first magnetic gap. A first magnetic attraction force is induced across the first magnetic gap. The first magnetic attraction force acts along a second axis. The second iron core linear motor assembly is disposed adjacent to the second magnet assembly. The second iron core linear motor assembly and the second magnet assembly are physically separated by a second magnetic gap. A second magnetic attraction force is induced across the second magnetic gap. The second magnetic attraction force acts along the second axis in a direction opposite the first magnetic attraction force.
In block 302, a second moving frame is positioned with respect to the first moving frame along a third axis. The third axis is orthogonal to the first axis. A third magnet assembly and a fourth magnet assembly are mechanically coupled to the first moving frame. A third iron core linear motor assembly and a fourth iron core linear motor assembly is mechanically coupled to the second moving frame. The third iron core linear motor assembly is disposed adjacent to the third magnet assembly. The third iron core linear motor assembly and the third magnet assembly are physically separated by a third magnetic gap. A third magnetic attraction force is induced across the third magnetic gap. The third magnetic attraction force acts along a fourth axis. The fourth iron core linear motor assembly is disposed adjacent to the fourth magnet assembly. The fourth iron core linear motor assembly and the fourth magnet assembly are physically separated by a fourth magnetic gap. A fourth magnetic attraction force is induced across the fourth magnetic gap. The fourth magnetic attraction force acts along the fourth axis in a direction opposite the third magnetic attraction force.
In general, the aforementioned measurement techniques may be applied to the measurement of process parameters, structural parameters, layout parameters, dispersion parameters, or any combination thereof. By way of non-limiting example, overlay, profile geometry parameters (e.g., critical dimension, height, sidewall angle), process parameters (e.g., lithography focus, and lithography dose), dispersion parameters, layout parameters (e.g., pitch walk, edge placement errors), film thickness, composition parameters, or any combination of parameters may be measured using the aforementioned techniques.
By way of non-limiting example, the structures measured with shape filling include gate all around structures, line-space grating structures, FinFet structures, SRAM device structures, Flash memory structures, and DRAM memory structures.
In another further aspect, the structures under measurement may be design rule targets. In other words, the metrology targets adhere to the design rules applicable to the underlying semiconductor manufacturing process. In some examples, the metrology targets are preferably located within the active die area. In some examples, the metrology targets have dimensions of 15 micrometers by 15 micrometers, or smaller. In some other examples, the metrology targets are located in the scribe lines, or otherwise outside the active die area.
In some examples, measurements of parameters of interest performed at a particular measurement site rely on data collected from that particular measurement site only, even though data may be collected from multiple sites on the wafer. In some other examples, measurement data collected from multiple sites across the wafer, or a subset of the wafer is used for measurement analysis. This may be desirable to capture parameter variations across the wafer.
In some examples, measurements of parameters of interest are performed based on metrology targets with multiple, different measurement techniques including single target techniques, multi-target techniques and spectra feedforward techniques. Accuracy of measured parameters may be improved by any combination of feed sideways analysis, feed forward analysis, and parallel analysis. Feed sideways analysis refers to taking multiple data sets on different areas of the same specimen and passing common parameters determined from the first dataset onto the second dataset for analysis. Feed forward analysis refers to taking data sets on different specimens and passing common parameters forward to subsequent analyses using a stepwise copy exact parameter feed forward approach. Parallel analysis refers to the parallel or concurrent application of a non-linear fitting methodology to multiple datasets where at least one common parameter is coupled during the fitting.
Multiple tool and structure analysis refers to a feed forward, feed sideways, or parallel analysis based on regression, a look-up table (i.e., “library” matching), or another fitting procedure of multiple datasets. Exemplary methods and systems for multiple tool and structure analysis is described in U.S. Pat. No. 7,478,019, issued on Jan. 13, 2009, to KLA-Tencor Corp., the entirety of which is incorporated herein by reference.
In yet another aspect, the measurement results obtained as described herein can be used to provide active feedback to a process tool (e.g., lithography tool, etch tool, deposition tool, etc.). For example, values of critical dimensions determined using the methods and systems described herein can be communicated to a lithography tool to adjust the lithography system to achieve a desired output. In a similar way etch parameters (e.g., etch time, diffusivity, etc.) or deposition parameters (e.g., time, concentration, etc.) may be included in a measurement model to provide active feedback to etch tools or deposition tools, respectively. In some example, corrections to process parameters determined based on measured device parameter values may be communicated to a lithography tool, etch tool, or deposition tool.
It should be recognized that the various steps described throughout the present disclosure may be carried out by a single computer system 130, a multiple computer system 130, or multiple, different computer systems 130. Moreover, different subsystems of systems 100, 200, and 300, such as the magnetically opposed, iron-core wafer positioning system, may include a computer system suitable for carrying out at least a portion of the steps described herein. Therefore, the aforementioned description should not be interpreted as a limitation on the present invention but merely an illustration. Further, computing system 130 may be configured to perform any other step(s) of any of the method embodiments described herein.
The computing system 130 may include, but is not limited to, a personal computer system, mainframe computer system, cloud-based computing system, workstation, image computer, parallel processor, or any other device known in the art. In general, the term “computing system” may be broadly defined to encompass any device, or combination of devices, having one or more processors, which execute instructions from a memory medium. In general, computing system 130 may be integrated with a measurement system such as measurement systems 100, 200, and 300, or alternatively, may be separate, entirely, or in part, from any measurement system. In this sense, computing system 130 may be remotely located and receive measurement data and from any measurement source and transmit command signals to any element of metrology systems 100, 200, and 300.
Program instructions 134 implementing methods such as those described herein may be transmitted over a transmission medium such as a wire, cable, or wireless transmission link. Memory 132 storing program instructions 134 may include a computer-readable medium such as a read-only memory, a random access memory, a magnetic or optical disk, or a magnetic tape.
In addition, the computing system 130 may be communicatively coupled to elements of measurement systems 100, 200, and 300 in any manner known in the art.
The computing system 130 may be configured to receive and/or acquire data or information from subsystems of a measurement system (e.g., spectrometer 104, illuminator 102, the magnetically opposed, iron-core wafer positioning system, and the like) by a transmission medium that may include wireline and/or wireless portions. In this manner, the transmission medium may serve as a data link between the computer system 130 and other subsystems of systems 100, 200, and 300. Further, the computing system 130 may be configured to receive measurement data via a storage medium (i.e., memory). For instance, the spectral results obtained using a spectrometer of ellipsometer 101 may be stored in a permanent or semi-permanent memory device (not shown). In this regard, the spectral results may be imported from an external system. Moreover, the computer system 130 may receive data from external systems via a transmission medium.
The computing system 130 may be configured to transmit data or information to subsystems of the system (e.g., spectrometer 104, illuminator 102, a magnetically opposed, iron-core wafer positioning system, and the like) by a transmission medium that may include wireline and/or wireless portions. In this manner, the transmission medium may serve as a data link between the computer system 130 and other subsystems of the systems 100, 200, and 300. Further, the computing system 130 may be configured to transmit command signals and measurement results via a storage medium (i.e., memory). For instance, the measurement results 115 obtained by analysis of spectral data may be stored in a permanent or semi-permanent memory device (not shown). In this regard, the spectral results may be exported to an external system. Moreover, the computer system 130 may send data to external systems via a transmission medium. In addition, the determined values of the parameter of interest are stored in a memory. For example, the values may be stored on-board the measurement systems 100, 200, and 300, for example, in memory 132, or may be communicated (e.g., via output signal 115) to an external memory device.
As described herein, the term “critical dimension” includes any critical dimension of a structure (e.g., bottom critical dimension, middle critical dimension, top critical dimension, sidewall angle, grating height, etc.), a critical dimension between any two or more structures (e.g., distance between two structures), and a displacement between two or more structures (e.g., overlay displacement between overlaying grating structures, etc.). Structures may include three dimensional structures, patterned structures, overlay structures, etc.
As described herein, the term “critical dimension application” or “critical dimension measurement application” includes any critical dimension measurement.
As described herein, the term “metrology system” includes any system employed at least in part to characterize a specimen in any aspect, including critical dimension applications and overlay metrology applications. However, such terms of art do not limit the scope of the term “metrology system” as described herein. In addition, the metrology systems described herein may be configured for measurement of patterned wafers and/or unpatterned wafers. The metrology system may be configured as a LED inspection tool, edge inspection tool, backside inspection tool, macro-inspection tool, or multi-mode inspection tool (involving data from one or more platforms simultaneously), and any other metrology or inspection tool that benefits from the measurement techniques described herein.
Various embodiments are described herein for a semiconductor processing system (e.g., an inspection system or a lithography system) that may be used for processing a specimen. The term “specimen” is used herein to refer to a wafer, a reticle, or any other sample that may be processed (e.g., printed or inspected for defects) by means known in the art.
As used herein, the term “wafer” generally refers to substrates formed of a semiconductor or non-semiconductor material. Examples include, but are not limited to, monocrystalline silicon, gallium arsenide, and indium phosphide. Such substrates may be commonly found and/or processed in semiconductor fabrication facilities. In some cases, a wafer may include only the substrate (i.e., bare wafer). Alternatively, a wafer may include one or more layers of different materials formed upon a substrate. One or more layers formed on a wafer may be “patterned” or “unpatterned.” For example, a wafer may include a plurality of dies having repeatable pattern features.
A “reticle” may be a reticle at any stage of a reticle fabrication process, or a completed reticle that may or may not be released for use in a semiconductor fabrication facility. A reticle, or a “mask,” is generally defined as a substantially transparent substrate having substantially opaque regions formed thereon and configured in a pattern. The substrate may include, for example, a glass material such as amorphous SiO2. A reticle may be disposed above a resist-covered wafer during an exposure step of a lithography process such that the pattern on the reticle may be transferred to the resist.
One or more layers formed on a wafer may be patterned or unpatterned. For example, a wafer may include a plurality of dies, each having repeatable pattern features. Formation and processing of such layers of material may ultimately result in completed devices. Many different types of devices may be formed on a wafer, and the term wafer as used herein is intended to encompass a wafer on which any type of device known in the art is being fabricated.
In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code means in the form of instructions or data structures and that can be accessed by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, includes compact disc (CD), laser disc, XRF disc, digital versatile disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
Although certain specific embodiments are described above for instructional purposes, the teachings of this patent document have general applicability and are not limited to the specific embodiments described above. Accordingly, various modifications, adaptations, and combinations of various features of the described embodiments can be practiced without departing from the scope of the invention as set forth in the claims.
The present application for patent claims priority under 35 U.S.C. § 119 from U.S. provisional patent application Ser. No. 63/413,250, entitled “Stacked XY Stage with moving magnets for high thermal stability,” filed Oct. 5, 2022, the subject matter of which is incorporated herein by reference in its entirety.
Number | Date | Country | |
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63413250 | Oct 2022 | US |