极紫外光刻
平版印刷术
光子学
材料科学
光子
抵抗
随机过程
事件(粒子物理)
纳米技术
光电子学
生物系统
光学
物理
数学
统计
生物
量子力学
图层(电子)
作者
Lawrence S. Melvin,Ulrich Welling,Yudhishthir Kandel,Zachary A. Levinson,Hironobu Taoka,Hans-Jürgen Stock,Wolfgang Demmerle
标识
DOI:10.35848/1347-4065/ac5b22
摘要
Abstract Extreme ultra-violet lithography lithography resolves features below 11 nm. However, photonic and atomic variations at these photon energies and dimensions lead to less than 1:10 9 potential stochastic defects causing device failures in stable manufacturing processes. This study investigates a methodology intended to identify root causes of stochastic defects with potential mitigation paths. Simulation techniques using pseudo random numbers are used to identify failing photonic and chemical event or distribution combinations. Failing combinations occurring in many photon-chemical configurations are thought to have potential mitigation methodologies. Photonic effects demonstrated significant impacts on stochastic defect formation with approximately 73% of the photon seeds resulting in a failure in at least 60% of the trials. The material results were mixed with large failure quantities that demonstrated low impacts. The photonic shot noise based failures were dominating in this study and these failures will not be mitigated by material enhancement alone.
科研通智能强力驱动
Strongly Powered by AbleSci AI