Efficient ILT via Multi-level Lithography Simulation
Shuyuan Sun, Fan Yang, Bei Yu, Li Shang, Xuan Zeng
Abstract
Inverse Lithography Technology (ILT) is a widely investigated method to improve the yield of chip manufacturing. However, high computational complexity and difficulty in fabricating curvilinear shapes have hindered the widespread adoption of ILT. This paper presents an efficient ILT framework, including a multi-level resolution method for simulation acceleration, a downsampling strategy for mask optimization, and an improved mask binary function to improve mask printability. Experimental results show that the proposed method outperforms state-of-the-art methods with at least a 33.8% reduction in L2 loss and a 15.5% reduction in PVBand.
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Cited by top-tier papers6
- EMOGen: Enhancing Mask Optimization via Pattern GenerationSu Zheng, Yuzhe Ma, Bei Yu, Martin D. F. WongDAC 2024 · 8 citations
- Fracturing-aware Curvilinear ILT via Circular E-beam Mask WriterXinyun Zhang, Su Zheng, Guojin Chen, Binwu Zhu et al.DAC 2024 · 4 citations
- Efficient Bilevel Source Mask OptimizationGuojin Chen, Hongquan He, Peng Xu, Hao Geng et al.DAC 2024 · 4 citations
- Efficient ILT via Multigrid-Schwartz MethodShuyuan Sun, Fan Yang, Bei Yu, Li Shang et al.DAC 2024 · 2 citations
- TokMan: Tokenize Manhattan Mask Optimization for Inverse LithographyYiwen Wu, Yuyang Chen, Ye Xia, Yao Zhao et al.NeurIPS 2025 · 1 citation
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