11 May 2009 Study of the pattern categorization method in verification of OPC pattern
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Proceedings Volume 7379, Photomask and Next-Generation Lithography Mask Technology XVI; 737933 (2009) https://doi.org/10.1117/12.824353
Event: Photomask and NGL Mask Technology XVI, 2009, Yokohama, Japan
Abstract
Owing to reduction of LSI device pattern, verification of mask pattern after optical proximity correction, OPC, by using Litho-Simulation becomes common practice. The verification using Litho-Simulation does not only increase reliability, but also the verification time. To solve this problem, we extract error patterns and categorize them, and we review only the representative pattern of each category to save time. But further reduction of device pattern might increase the verification time. There is loose matching method to save the time, but it has a week point such that accuracy of categorization is trade-off with error pattern number to be reviewed. We tried a method of categorization referring to original pattern, CROP. The CROP method categorizes error patterns referring to original pattern extracted by the position data of the error pattern. For this reason, categorization of error patterns is accurate, and the number category of a product pattern is reduced to1/50 compared with pattern matching method, which is loose matching method with 0 nm matching size.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mitsufumi Naoe, Mitsufumi Naoe, Toru Miyauchi, Toru Miyauchi, Seiji Makino, Seiji Makino, Koichi Suzuki, Koichi Suzuki, Masakazu Oseki, Masakazu Oseki, Tomoyuki Okada, Tomoyuki Okada, } "Study of the pattern categorization method in verification of OPC pattern", Proc. SPIE 7379, Photomask and Next-Generation Lithography Mask Technology XVI, 737933 (11 May 2009); doi: 10.1117/12.824353; https://doi.org/10.1117/12.824353
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