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MOSAIC: Mask optimizing solution with process window aware inverse correction

机译:马赛克:掩模优化解决方案与过程窗口感知反校正

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Optical Proximity Correction (OPC) has been widely adopted for resolution enhancement to achieve nanolithography. However, conventional rule-based and model-based OPCs encounter severe difficulties at advanced technology nodes. Inverse Lithography Technique (ILT) that solves the inverse problem of the imaging system becomes a promising solution for OPC. In this paper, we consider simultaneously 1) the design target optimization under nominal process condition and 2) process window minimization with different process corners, and solve the mask optimization problem based on ILT. The proposed method is tested on 32nm designs released by IBM for the ICCAD 2013 contest. Our optimization is implemented in two modes, MOSAIC_fast and MOSAIC_exact, which outperform the first place winner of the ICCAD 2013 contest by 7% and 11%, respectively.
机译:光学邻近校正(OPC)已被广泛采用分辨率增强以实现纳米光刻。然而,以传统的基于规则和基于模型的OPC在高级技术节点遇到严重的困难。解决成像系统的逆问题的逆光刻技术(ILL)成为OPC的有希望的解决方案。在本文中,我们同时考虑了1)在标称过程条件下的设计目标优化和2)流程窗口用不同的过程角落最小化,并根据ILT解决掩模优化问题。该方法在IBM为ICCAD 2013比赛中发布的32nm设计测试。我们的优化是以两种模式实现的,MOSAIC_FAST和MOSAIC_EXACT实现,其优于ICCAD 2013竞赛的首次获胜者分别为7%和11%。

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