• Acta Optica Sinica
  • Vol. 41, Issue 9, 0911004 (2021)
Yijiang Shen1、*, Xiaopeng Wang1, Yanzhou Zhou1, and Zhenrong Zhang2
Author Affiliations
  • 1School of Automation, Guangdong University of Technology, Guangzhou, Guangdong 510006, China
  • 2School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi 530004, China
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    DOI: 10.3788/AOS202141.0911004 Cite this Article Set citation alerts
    Yijiang Shen, Xiaopeng Wang, Yanzhou Zhou, Zhenrong Zhang. Local Level Set Based Mask Optimization with Semi-Implicit Discretization[J]. Acta Optica Sinica, 2021, 41(9): 0911004 Copy Citation Text show less

    Abstract

    This paper proposes to apply a semi-implicit difference scheme where diffusion terms in the time-dependent partial differential equation are discretized implicitly and non-diffusion ones explicitly thus overcoming the prohibitive step-size in lithographic mask optimization (MO). Further, monitoring pixels on mask pattern contour instead of all pattern pixels are selected locally corresponding to high-frequency layout component and optimized to ease the computation complexity. Superior MO performance is demonstrated by the simulation results in terms of improved convergence with reduced optimization dimensionality.
    Yijiang Shen, Xiaopeng Wang, Yanzhou Zhou, Zhenrong Zhang. Local Level Set Based Mask Optimization with Semi-Implicit Discretization[J]. Acta Optica Sinica, 2021, 41(9): 0911004
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