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Improved testpatterns and coverage for complex SrAF to optimize 5nm and below OPC and mask patterning

机译:改进的测试图案和复杂SrAF的覆盖范围,以优化5nm及以下的OPC和掩模图案

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Below the 28nm node the difficulty of using subresolution assist features (SrAFs) in OPC/RET schemes increases substantially with each new device node. This increase in difficulty is due to the need for tighter process window control for smaller target patterns, the increased risk of SrAF printing , and also the increased difficulty of SrAF mask manufacture and inspection. Therefore, there is a substantially increased risk of SrAFs which violate one or more manufacturability limits. In this paper, we present results of our work to evaluate methods to pre-characterize designs which are likely to become problematic for SrAF placement. We do this by evaluating different machine learning methods, inputs and functions.
机译:在28nm节点以下,随着每个新的设备节点,在OPC / RET方案中使用子分辨率辅助功能(SrAF)的难度大大增加。难度的增加是由于需要对较小的目标图案进行更严格的工艺窗口控制,SrAF印刷的风险增加以及SrAF掩模制造和检查的难度增加。因此,违反一个或多个可制造性限制的SrAF的风险大大增加。在本文中,我们介绍了我们的工作结果,以评估预先特征化设计的方法,这些方法可能会对SrAF的放置造成问题。我们通过评估不同的机器学习方法,输入和功能来做到这一点。

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