Asml Netherlands B.v.

Asml Masktools B.v.

Asml Holding N.v.

Cymer, Inc.

Asml Masktools Netherlands B.v.

Asml Masktooks B.v.

Duan-Fu Stephen Hsu

Jang Fung Chen

Douglas Van Den Broeke

Rafael C Howell

Kurt E Wampler

Jingjing Liu

Markus Franciscus Antonius Eurlings

Sangbong Park

Xuelong Shi

Noel Corcoran

Xingyue Peng

Xiaoyang Jason Li

Thomas Laidig

Xiaofeng Liu

Jung Chul Park

Zhan Shi

Feng-Liang Liu

Frank Staals

Luoqi Chen

Hanying Feng

Christoph Rene Konrad Cebulla Hennerkes

Xinjian Zhou

Yi-Fan Chen

JooByoung Kim

Jianjun Jia

Johannes Jacobus Matheus Baselmans

Christopher A Spence

Robert John Socha

Yi Zou

Kars Zeger Troost

Joshua Jon Thornes

Christopher John Mason

Jing Su

Doug Van Den Broeke

Willard Earl Conley

Todd R Downey

Armin Liebchen

Willem Jan Bouman

Edita Tejnil

Eelco Van Setten

Marie-Claire Van Lare

Michael Hsu

Tian Gang

Frank Arnoldus Johannes Maria Driessen

Cuiping Zhang

Janardan Nath

Frank Jan Timmermans

Dezheng Sun

Qinglin Li

Gerui Liu

Jungchul Park

A method for source mask optimization or mask only optimization used to image a pattern onto a substrate. The method includes determining a non-uniform illumination intensity profile for illumination; and determining one or more adjustments for the pattern based on the non-uniform illumination intensity profile until a determination that features patterned onto a substrate substantially match a target design. The non-uniform illumination intensity profile may be determined based on an illumination optical system and projection optics of a lithographic apparatus. In some embodiments, the lithographic apparatus includes a slit, and the non-uniform illumination profile is a through slit non-uniform illumination intensity profile. Determining the one or more adjustments for the pattern may include performing optical proximity correction, for example.

Optimization using a non-uniform illumination intensity profile

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.

Method for determining aberration sensitivity of patterns

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. The hyperdimensional function is configured to correlate the received patterning system aberration data with the new patterning process impact data in an approximation form, in lieu of a full simulation, without involving calculation of an aerial image or a representation thereof.

Aberration impact systems, models, and manufacturing processes

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.

Method of determining characteristic of patterning process based on defect for reducing hotspot

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.

Wavefront optimization for tuning scanner based on performance matching

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.

Imaging via zeroth order suppression

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.

Flows of optimization for patterning processes

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.

Method and apparatus for diffraction pattern guided source mask optimization

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.

Method for high numerical aperture thru-slit source mask optimization

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.

Method and apparatus for imaging using narrowed bandwidth

A method for optimizing a patterning device pattern, the method including obtaining an initial design pattern having a plurality of polygons, causing at least some of the polygons to be effectively connected with each other, placing evaluation features outside the boundaries of the polygons, and creating a patterning device pattern spanning across the connected polygons based on the evaluation features.

Method for optimizing a patterning device pattern

A method including: determining a first simulated partial image formed, by a lithographic projection apparatus, from a first radiation portion propagating along a first group of one or more directions; determining a second simulated partial image formed, by the lithographic projection apparatus, from a second radiation portion propagating along a second group of one or more directions; and determining an image by incoherently adding the first partial image and the second partial image, wherein the first group of one or more directions and the second group of one or more directions are different.

Simulation of lithography using multiple-sampling of angular distribution of source radiation

A patterning device, includes: an absorber layer on a patterning device substrate; and a reflective or transmissive layer on the patterning device substrate, wherein the absorber layer and the reflective or transmissive layer together define a pattern layout having a main feature and an attenuated sub-resolution assist feature paired with the main feature, wherein: the main feature is configured to generate, upon transferring the device pattern to a layer of patterning material on a substrate, the main feature in the layer of patterning material, and upon the transferring the pattern to the layer of patterning material, the attenuated sub-resolution assist feature is configured to avoid generating a feature in the layer of patterning material and to produce a different radiation intensity than the main feature.

Patterning device, a method of making the same, and a patterning device design method

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Fremont, CA, United States of America

Duan-Fu Stephen Hsu