极紫外光刻
平版印刷术
计算机科学
抵抗
计算光刻
下一代光刻
光刻
投票
多重图案
X射线光刻
浸没式光刻
材料科学
光学
光电子学
纳米技术
电子束光刻
物理
法学
政治学
政治
图层(电子)
作者
Timothy A. Brunner,Melih Ozlem,Geng Han,Jed Rankin,Obert R. Wood,Erik Verduijn
摘要
Vote-taking lithography sums up N mask images, each at 1/N dose, to mitigate the mask defects on each individual mask. The fundamental assumption is that the mask defects do not correlate in position from mask to mask, and so each individual defect will be blended with good images from the other N-1 masks. This paper will explore vote-taking for EUV lithography with both simulation and experimental results. PROLITH simulations will show the size of defects that can be healed for different N, the number of masks. SEM images of NXE 3300 exposures will be shown that are similar to those predicted from simulation. The implementation of vote-taking lithography for High Volume Manufacturing has huge practical and economic barriers. Some expose tool capabilities that could enable vote-taking lithography will be discussed. Besides defect mitigation, we briefly speculate on other possible imaging benefits opened up by voting with several exposure passes.
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