极紫外光刻
表面光洁度
光学
堆栈(抽象数据类型)
薄脆饼
抵抗
材料科学
表面粗糙度
涟漪
涂层
平面的
计算机科学
平版印刷术
光电子学
物理
图层(电子)
纳米技术
计算机图形学(图像)
复合材料
电压
程序设计语言
量子力学
作者
R. Jonckheere,Lawrence S. Melvin
摘要
In follow-up of related contributions at the past three symposium editions, our simulation study arrived at this question. As shown before, (local) mask defects and non-local mask deficiencies (NLMDs) act as triggers for increased stochastic failure probability on the EUV imaged resist pattern on wafer. Mask roughness is such an NLMD. The three types studied comprise multilayer (ML) ripple, which relates to a non-fully planar coating of the ML mask stack, mask absorber lineedge roughness and roughening of the ML. For the latter the study was restricted to roughening of the ruthenium capping layer only, which may already happen during the patterning step of the absorber during mask making. Each of the 3 roughness types is studied standalone and in combination. An alternative technique is presented that allows to define tolerance limits for mask roughness, without requiring massive, time-consuming stochastic simulations. It is based on studying how roughness-induced background light is passing through the projection optics. Our results, for anamorphic imaging at 0.55 NA, suggest the importance of limiting mask roughness beyond state-of-the-art.
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