%0 Conference Paper %1 conf/aspdac/YangR23 %A Yang, Haoyu %A Ren, Haoxing %B ASP-DAC %D 2023 %E Takahashi, Atsushi %I ACM %K dblp %P 715-720 %T Enabling Scalable AI Computational Lithography with Physics-Inspired Models. %U http://dblp.uni-trier.de/db/conf/aspdac/aspdac2023.html#YangR23 %@ 978-1-4503-9783-4

@inproceedings{conf/aspdac/YangR23, added-at = {2023-02-27T00:00:00.000+0100}, author = {Yang, Haoyu and Ren, Haoxing}, biburl = {https://www.bibsonomy.org/bibtex/2aa289134aa6e06c5597be50194085956/dblp}, booktitle = {ASP-DAC}, crossref = {conf/aspdac/2023}, editor = {Takahashi, Atsushi}, ee = {https://ieeexplore.ieee.org/document/10044771}, interhash = {dcfa487ba05842fc5ee5511747a020b3}, intrahash = {aa289134aa6e06c5597be50194085956}, isbn = {978-1-4503-9783-4}, keywords = {dblp}, pages = {715-720}, publisher = {ACM}, timestamp = {2024-04-09T13:32:59.000+0200}, title = {Enabling Scalable AI Computational Lithography with Physics-Inspired Models.}, url = {http://dblp.uni-trier.de/db/conf/aspdac/aspdac2023.html#YangR23}, year = 2023 }