Paper
19 May 2008 OPC model enhancement using parameter sensitivity methodology
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Abstract
An approach to parameter sensitivity methodology for OPC modeling is enhanced, automated, and applied to generate production-quality models for a 32-nm logic node poly layer. Two parameter sensitivity models are generated and compared to a baseline model from the same experimental dataset. The three models are thoroughly investigated to demonstrate that parameter sensitivity can enhance advanced OPC models with essentially no impact on the time required for model optimization. Results also indicate that parameter sensitivity, if used improperly, can decrease model quality.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian S. Ward and Martin Drapeau "OPC model enhancement using parameter sensitivity methodology", Proc. SPIE 7028, Photomask and Next-Generation Lithography Mask Technology XV, 70280N (19 May 2008); https://doi.org/10.1117/12.793030
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Cited by 1 scholarly publication.
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KEYWORDS
Data modeling

Picosecond phenomena

Calibration

Optimization (mathematics)

Optical proximity correction

Performance modeling

Statistical modeling

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