Abstract: Scanner aberration impact modeling in a semiconductor manufacturing process, which may facilitate co-optimization of multiple scanners. Scanner aberration impact modeling may include executing a calibrated model and controlling a scanner based on output from the model. The model is configured to receive patterning system aberration data. The model is calibrated with patterning system aberration calibration data and corresponding patterning process impact calibration data. New patterning process impact data may be determined, based on the model, for the received patterning system aberration data. The model includes a hyperdimensional function configured to correlate the received patterning system aberration data with the new patterning process impact data.

Abstract: A method for determining process window limiting patterns based on aberration sensitivity associated with a patterning apparatus. The method includes obtaining (i) a first set of kernels and a second set of kernels associated with an aberration wavefront of the patterning apparatus and (ii) a design layout to be printed on a substrate via the patterning apparatus; and determining, via a process simulation using the design layout, the first set of kernels, and the second set of kernels, an aberration sensitivity map associated with the aberration wavefront, the aberration sensitivity map indicating how sensitive one or more portions of the design layout are to an individual aberrations and an interaction between different aberrations; determining, based on the aberration sensitivity map, the process window limiting pattern associated with the design layout having relatively high sensitivity compared to other portions of the design layout.

Abstract: Scanner aberration impact modeling in a semiconductor manufacturing process, which may facilitate co-optimization of multiple scanners. Scanner aberration impact modeling may include executing a calibrated model and controlling a scanner based on output from the model. The model is configured to receive patterning system aberration data. The model is calibrated with patterning system aberration calibration data and corresponding patterning process impact calibration data. New pattering process impact data may be determined, based on the model, for the received patterning system aberration data. The model includes a hyperdimensional function configured to correlate the received patterning system aberration data with the new pattering process impact data.

Abstract: Dynamic aberration control in a semiconductor manufacturing process is described. In some embodiments, wavefront data representing a wavefront provided by an optical projection system of a semiconductor processing apparatus may be received. Wavefront drift may be determined based on a comparison of the wavefront data and target wavefront data. Based on the wavefront drift, one or more process parameters may be determined. The one or more process parameters include parameters associated with a thermal device, where the thermal device is configured to provide thermal energy to the optical projection system during operation.

Abstract: Methods for optimizing an aspect of a patterning process based on defects. For example, a method of source and mask optimization of a patterning process includes obtaining a location on a substrate having a threshold probability of having a defect; defining an defect ambit around the location to include a portion of a pattern on the substrate and one or more evaluation points associated with the portion of the pattern; determining a value of a first cost function based on a defect metric associated with the defect; determining a first guide function for the first cost function, wherein the first guide function is associated with a performance metric of the patterning process at the one or more evaluation locations within the defect ambit; and adjusting a source and/or a mask characteristic based on the value of the first cost function, and the first guide function.

Abstract: Apparatuses, systems, and methods for selecting a subset of critical patterns from a plurality of patterns of a design layout. In some embodiments, the method includes accessing diffraction order data based on the plurality of patterns that represent features to be formed on at least a portion of a substrate, the diffraction order data including a plurality of peaks corresponding to the plurality of patterns. The method also includes identifying a subset of representative peaks from the plurality of peaks according to one or more grouping criteria, the identifying including identifying a first representative peak that covers another peak colinear with the first representative peak, wherein the first representative peak is a discrete peak having a frequency that is an integer multiple of frequency of another discrete peak. The method further includes selecting the subset of critical patterns corresponding to the subset of representative peaks.

Abstract: Generating a design (e.g., a metrology mark or a device pattern to be printed on a substrate) that is optimized for aberration sensitivity related to an optical system of a lithography system. A metrology mark (e.g., a transmission image sensor (TIS) mark) is optimized for a given device pattern by matching the aberration sensitivity of the metrology mark with the aberration sensitivity of the device pattern. A cost function that includes the aberration sensitivity difference between the metrology mark and the device pattern is evaluated based on an imaging characteristic response (e.g., a critical dimension (CD) response to focus) obtained from a simulation model that simulates lithography. The cost function is evaluated by modifying the metrology mark until the cost function is minimized and an optimized metrology mark is output when the cost function is minimized.

Abstract: Methods for optimizing an aspect of a patterning process based on defects. For example, a method of source and mask optimization of a patterning process includes obtaining a location on a substrate having a threshold probability of having a defect; defining an defect ambit around the location to include a portion of a pattern on the substrate and one or more evaluation points associated with the portion of the pattern; determining a value of a first cost function based on a defect metric associated with the defect; determining a first guide function for the first cost function, wherein the first guide function is associated with a performance metric of the patterning process at the one or more evaluation locations within the defect ambit; and adjusting a source and/or a mask characteristic based on the value of the first cost function, and the first guide function.

Abstract: Apparatuses and techniques for suppressing a zeroth order portion of a configured radiation beam. In some embodiments, an extreme ultraviolet (EUV) lithographic apparatus for forming an image on a substrate by use of an EUV radiation beam that is configured by a patterning device comprising a pattern of reflective regions and partially reflective regions, wherein the partially reflective regions are configured to suppress and apply a phase shift to a portion of the EUV radiation beam, may include a projection system. The projection system may be configured to suppress a zeroth order portion of a configured EUV radiation beam, and direct an unsuppressed portion of a configured EUV radiation beam towards a substrate to form an image on the substrate.

Abstract: An icephobic substrate includes a base substrate and an icephobic coating on a first surface of the base substrate, the icephobic coating comprising nanoparticles on the first surface of the substrate, carbon nanotubes bound to the nanoparticles, and fluorinated polyhedral oligomeric silsesquioxane (POSS) compounds impregnated into and/or onto the carbon nanotubes, wherein the icephobic substrate has a plurality of flowpaths for the movement of solids and/or liquids relative to the icephobic coating.

Abstract: A method for determining a wavefront parameter of a patterning process. The method includes obtaining a reference performance (e.g., a contour, EPE, CD) of a reference apparatus (e.g., a scanner), a lens model for a patterning apparatus configured to convert a wavefront parameter of a wavefront to actuator movement, and a lens fingerprint of a tuning apparatus (e.g., a to-be-matched scanner). Further, the method involves determining the wavefront parameter (e.g., a wavefront parameter such as tilt, offset, etc.) based on the lens fingerprint of the tuning apparatus, the lens model, and a cost function, wherein the cost function is a difference between the reference performance and a tuning apparatus performance.

Abstract: Methods for configuring a patterning process based on results of another patterning process is described. The method includes obtaining a first set of contours by simulating a first patterning process using a design layout in a first orientation. The contours satisfy a design specification associated with the design layout and correspond to a first set of process window conditions. A second patterning process is configured based on a second orientation of the design layout, the first set of process window conditions and the first set of contours. The second patterning process is associated with one or more design variables (e.g., illumination, mask pattern) that affect a second set of contours. The configuring includes adjusting one or more design variables until the second set of contours are within a desired matching threshold with the first set of contours.

Abstract: A method for improving a lithographic process of imaging a portion of a design layout onto a substrate using a lithographic apparatus. The method includes computing a multi-variable cost function that is a function of: (i) a plurality of design variables that affect characteristics of the lithographic process and (ii) a radiation bandwidth of a radiation source of the lithographic apparatus; and reconfiguring one or more of the characteristics (e.g., EPE, image contrast, resist, etc.) of the lithographic process by adjusting one or more of the design variables (e.g., source, mask layout, bandwidth, etc.) until a termination condition is satisfied. The termination condition includes a speckle characteristic (e.g., a speckle contrast) maintained within a speckle specification associated with the radiation source and also maintaining an image contrast associated with the lithographic process within a desired range. The speckle characteristic being a function of the radiation bandwidth.

Abstract: Apparatuses and techniques for suppressing a zeroth order portion of a configured radiation beam. In some embodiments, an extreme ultraviolet (EUV) lithographic apparatus for forming an image on a substrate by use of an EUV radiation beam that is configured by a patterning device comprising a pattern of reflective regions and partially reflective regions, wherein the partially reflective regions are configured to suppress and apply a phase shift to a portion of the EUV radiation beam, may include a projection system. The projection system may be configured to suppress a zeroth order portion of a configured EUV radiation beam, and direct an unsuppressed portion of a configured EUV radiation beam towards a substrate to form an image on the substrate.

Abstract: A method to improve a lithographic process for imaging a portion of a patterning device pattern onto a substrate using a lithographic projection having an illumination system and projection optics, the method including: (1) obtaining a simulation model that models projection of radiation by the projection optics, wherein the simulation model models an effect of an obscuration in the projection optics, and configuring, based on the model, the portion of the patterning device pattern, and/or (2) obtaining a simulation model that models projection of radiation by the projection optics, wherein the simulation model models an anamorphic demagnification of radiation by the projection optics, and configuring, based on the model, the portion of the patterning device pattern taking into account an anamorphic manufacturing rule or anamorphic manufacturing rule ratio.

Abstract: A diffraction pattern guided source mask optimization (SMO) method that includes determining a source variable region from a diffraction pattern. The source variable region corresponds to one or more areas of a diffraction pattern in a pupil for which one or more pupil variables are to be adjusted. The source variable region in the diffraction pattern includes a plurality of pixels in an image of a selected region of interest in the diffraction pattern. Determining the source variable region can include binarization of the plurality of pixels in the image such that individual pixels are either included in the source variable region or excluded from the source variable region. The method can include adjusting the one or more pupil variables for the one or more areas of the pupil that correspond to the source variable region; and rendering a final pupil based on the adjusted one or more pupil variables.

Abstract: A method for source mask optimization with a lithographic projection apparatus. The method includes determining a multi-variable source mask optimization function using a plurality of tunable design variables for an illumination system of the lithographic projection apparatus, a projection optics of the lithographic projection apparatus to image a mask design layout onto a substrate, and the mask design layout. The multi-variable source mask optimization function may account for imaging variation across different positions in an exposure slit corresponding to different stripes of the mask design layout exposed by a same slit position of the exposure apparatus. The method includes iteratively adjusting the plurality of tunable design variables in the multi-variable source mask optimization function until a termination condition is satisfied.

Abstract: A method for source mask optimization to increase scanner throughput for a patterning process is described. The method includes computing a multi-variable cost function of design variables that are representative of characteristics of the patterning process. The design variables may include (a) an illumination variable that is characteristic of an illumination system, and (b) a design layout variable that is characteristic of a design layout. The multi-variable cost function may be a function of a throughput of the patterning process. The method further includes reconfiguring the characteristics of the patterning process by adjusting the design variables until a predefined termination condition is satisfied.

Abstract: Systems, methods, and computer programs for increasing a contrast for a lithography system are disclosed. In one aspect, a method of optimizing a process for imaging a feature on a substrate using a photolithography system is disclosed, the method including obtaining an optical spectrum of a light beam for the imaging, wherein the light beam includes pulses having a plurality of different wavelengths, and narrowing the optical spectrum of the pulses of the light beam for the imaging to improve a quality metric of the imaging.

Abstract: Scanner aberration impact modeling in a semiconductor manufacturing process, which may facilitate co-optimization of multiple scanners. Scanner aberration impact modeling may include executing a calibrated model and controlling a scanner based on output from the model. The model is configured to receive patterning system aberration data. The model is calibrated with patterning system aberration calibration data and corresponding patterning process impact calibration data. New patterning process impact data may be determined, based on the model, for the received patterning system aberration data. The model includes a hyperdimensional function configured to correlate the received patterning system aberration data with the new patterning process impact data.