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Computational lithography
Computational lithography is the set of mathematical and algorithmic approaches designed to improve the resolution attainable through photolithography. Photolithography is relying more on resolution enhancement techniques (RETs), since their implementation does not require significant changes in fabrication infrastructure. Computational lithography aims at computer optimization of patterns, using optical proximity correction (OPC), phase shifting mask (PSM), and off-axis illumination (OAI) RET tools. Computational lithography draws from the rich theory of optical optimization, computational imaging, image processing, etc. It is worth mentioning that current works on IWAPS2020 explore applications of machine learning on solving problems encountered by advanced lithography.
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