极紫外光刻
覆盖
计算机科学
节点(物理)
多重图案
匹配(统计)
嵌入式系统
平版印刷术
覆盖网
操作系统
计算机硬件
图层(电子)
抵抗
工程类
纳米技术
材料科学
光电子学
互联网
结构工程
数学
统计
作者
Ting-Ju Yueh,Miao-Chi Chen,Hsueh-Hung Wu,Shin-Rung Peng,Chun-Kuang Chen,L. J. Chen,John C. Lin,Kevin Cheng,Alexander Padi,Cathy Wang,Jean Phillippe van Damme,Theo Thijssen,M. Beckers,Albert Mollema,Leon Levasier,Jason C. Hung,A. Chen,Floris Teeuwisse,Robin Tijssen,Marcel Mastenbroek
摘要
EUV lithography enables the transition from multiple patterning in DUV back to single patterning in EUV, with the associated cost benefit. While imaging and patterning becomes easier with EUV, cross-platform overlay performance needs to be taken into account. With quadruple patterning, the matching performance is driven by the platform capabilities, with platform specific fingerprints not contributing to the matching performance as they are similar for each layer. Introducing EUV automatically means we need to compensate for the differences in the platform fingerprints, as they bring a penalty in the DUV-EUV matching budget. This paper will explain what the main overlay contributors in cross-platform matched machine overlay are and how they can be cancelled or reduced using additional correction measures, with the goal to reach below 2.0 nm cross matched machine overlay.
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