Inspection of Stochastic Defects With Broadband Plasma Optical Systems for Extreme Ultraviolet (EUV) Lithography

极紫外光刻 极端紫外线 平版印刷术 进程窗口 材料科学 光刻 抵抗 薄脆饼 光电子学 光学 宽带 计算机科学 图层(电子) 纳米技术 物理 激光器
作者
Kaushik Sah,Sandip Halder,Andrew Cross,Philippe Leray
出处
期刊:IEEE Transactions on Semiconductor Manufacturing [IEEE Computer Society]
卷期号:33 (1): 23-31 被引量:9
标识
DOI:10.1109/tsm.2019.2963483
摘要

As extreme ultraviolet (EUV) lithography enters high volume manufacturing (HVM) to enable the sub-7nm scaling roadmap, characterizing and monitoring defects that print at wafer level are of critical importance to yield. This is especially true for defects coming from the EUV mask, due to multi-layer defects or added particles or growth on mask during its use, and for defects coming from the pattern formation process itself, which are known as stochastic printing defects or simply stochastic defects. In this paper we focus on developing inspection solutions for stochastic defects, which essentially are random local variations that occur between structures that should, in principle, print identically. These defects occur at significant frequencies with current state-of-the-art processes. Specifically, we discuss the importance of detecting these defects using KLA broadband plasma (BBP) optical inspection systems and the development of useful analysis methodologies. In addition, we describe use of traditional focus-dose process window discovery methodology developed on these optical inspection systems, for a foundry N5 equivalent M2 layer with both hybrid EUV and direct EUV patterning schemes. We highlight the impact of EUV stochastics to the overall process window.
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