极紫外光刻
进程窗口
过程(计算)
平版印刷术
计算机科学
多重图案
暴露
钥匙(锁)
节点(物理)
抵抗
纳米技术
材料科学
工程类
光电子学
图层(电子)
天文
物理
操作系统
结构工程
计算机安全
作者
Luciana Meli,Karen Petrillo,Anuja De Silva,John Arnold,Nelson Felix,Chris Robinson,Benjamin D. Briggs,Shravan Matham,Yann Mignot,Jeffrey C. Shearer,Bassem Hamieh,Koichi Hontake,Lior Huli,Corey Lemley,Dave Hetzer,Eric Liu,Akiteru Ko,Shinichiro Kawakami,Takeshi Shimoaoki,Yusaku Hashimoto
出处
期刊:Journal of Micro-nanolithography Mems and Moems
[SPIE]
日期:2018-09-05
卷期号:18 (01): 1-1
被引量:12
标识
DOI:10.1117/1.jmm.18.1.011006
摘要
The key challenge for enablement of a second node of single-expose EUV patterning is understanding and mitigating the patterning-related defects that narrow the process window. Typical in-line inspection techniques, such as broadband plasma and e-beam systems, find it difficult to detect the main yield-detracting defects postdevelop, and thus understanding the effects of process improvement strategies has become more challenging. New techniques and methodologies for detection of EUV lithography defects, along with judicious process partitioning, are required to develop process solutions that improve yield. This paper will first discuss alternative techniques and methodologies for detection of lithography-related defects, such as scumming and microbridging. These strategies will then be used to gain a better understanding of the effects of material property changes, process partitioning, and hardware improvements, ultimately correlating them directly with electrical yield detractors.
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