Presentation + Paper
20 March 2018 Constraint approaches for some inverse lithography problems with pixel-based mask
Sergey Kobelkov, Victoria Roizen, Sergei Rodin, Alexander Tritchkov, JiWan Han, Yuri Granik
Author Affiliations +
Abstract
An approach of solving the inverse lithography problem as a nonlinear, constrained minimization problem over a domain of mask pixels was suggested in the paper by Yu. Granik "Fast pixel-based mask optimization for inverse lithography'' in 2006.

This idea was advanced to account for pinching and bridging print contour constraints in the paper "Controlling Bridging and Pinching with Pixel-based Mask for Inverse Lithograph'' by S. Kobelkov and others in 2015.

The present paper extends this approach further for solving the enclosure print image constraints, getting maximum common depth of focus, and obtaining uniform PV-bands.

Namely, we suggest several objective functions that express penalty for constraint violations. Their minimization with gradient descent methods is considered. A number of applications have been tested with ILTbased pxOPC tool for DUV metal, contacts, and EUV metal layouts; results are discussed showing benefits of each approach.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sergey Kobelkov, Victoria Roizen, Sergei Rodin, Alexander Tritchkov, JiWan Han, and Yuri Granik "Constraint approaches for some inverse lithography problems with pixel-based mask", Proc. SPIE 10587, Optical Microlithography XXXI, 105870I (20 March 2018); https://doi.org/10.1117/12.2297262
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Cited by 1 scholarly publication.
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KEYWORDS
Photomasks

Lithography

Optical lithography

Source mask optimization

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