Paper
20 March 2006 Maximizing test pattern coverage for OPC model build
Andrew Khoh, Shyue-Fong Quek, Yee-Mei Foong, Jacky Cheng, Byoung-Il Choi
Author Affiliations +
Abstract
OPC model stability is important at low k-1. Unstable OPC model leads to catastrophic OPC failures. For parametric OPC models, one of the major contributions to model instability is inadequate test pattern coverage over the parameter space where actual product designs reside. In this paper, we present a systematic approach to maximizing the coverage of existing test patterns. In this approach, the entire space over which all pattern variants reside is first approximated by varying the pattern dimensions in simple patterns. We call the generated parameter spaces reference domains. Next, regions in the parameter space that are sparsely covered are determined by overlaying parameter data points corresponding to existing test patterns over the reference domains. Systematically analyzing the characteristics of the reference domains, the required test patterns to maximize test pattern coverage can be inferred. Test pattern coverage is hence maximized. In this study, a parametric model with three parameters is considered.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew Khoh, Shyue-Fong Quek, Yee-Mei Foong, Jacky Cheng, and Byoung-Il Choi "Maximizing test pattern coverage for OPC model build", Proc. SPIE 6154, Optical Microlithography XIX, 615437 (20 March 2006); https://doi.org/10.1117/12.660292
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Cited by 3 scholarly publications.
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KEYWORDS
Optical proximity correction

Product engineering

Model-based design

Analytical research

Calibration

Critical dimension metrology

Visualization

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