Paper
23 March 2020 Proteus SMO for process window improvement
Kun-Yuan Chen, Andy Lan, Richer Yang, Jing Jing Liu, Ting Ting Xu, Cheng-Shuan Lin, Hua Ding, Chih-Jie Lee, Thuc Dam, Jianjun Jia
Author Affiliations +
Abstract
As technology continues to scale aggressively, source mask optimization (SMO) is now a key resolution enhancement technique (RET) to maximize the process window. Synopsys© has developed new source mask optimization tool Proteus SMO that demonstrated this improvement. Proteus SMO is equipped with comprehensive functionalities for computing the optimum source and mask. High flexibilities of source types, mask recipes, models, optimizers, and cost functions are provided. For enabling accurate simulation results, integration of Sentaurus Lithography (S-Litho) is also possible when needed. Moreover, the industrial-proven Inverse Lithography Technology (Proteus ILT) mask synthesis is integrated within Proteus SMO further maximizing the process window. Taking advantage of ILT and SLitho simulation solutions, Proteus SMO could achieve significant lithographic performance improvement.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kun-Yuan Chen, Andy Lan, Richer Yang, Jing Jing Liu, Ting Ting Xu, Cheng-Shuan Lin, Hua Ding, Chih-Jie Lee, Thuc Dam, and Jianjun Jia "Proteus SMO for process window improvement", Proc. SPIE 11327, Optical Microlithography XXXIII, 1132711 (23 March 2020); https://doi.org/10.1117/12.2552230
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KEYWORDS
Source mask optimization

Photomasks

Semiconducting wafers

Lithography

Nanoimprint lithography

Resolution enhancement technologies

Photovoltaics

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