Advanced surface cleanness evaluation technique using epitaxial silicon germanium (SiGe) process beyond 32nm node

K. Umezawa, M. Inukai, S. Mori, T. Sato, I. Mizushima, H. Tomita, A. Yomoda
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引用次数: 4

Abstract

Epitaxial growth process strongly depends on the substrate surface cleanliness. In this study, advanced surface cleanness evaluation techniques for 32 nm node and beyond such as light point defects (LPDs) and haze measurements are studied using epitaxial silicon germanium (SiGe) process on 300 mm wafers. Small water marks formed during wafer drying can be detected as small LPDs just after pre-cleaning. These water marks inhibit SiGe growth during the epitaxial process. In addition, SiGe film LPDs increase drastically with increasing queue time between pre-cleaning process and SiGe CVD process. Finally, SURFimage haze measurement is shown to be a powerful advanced technique to monitor the localized "abnormal growth defects" and the surface morphology of the SiGe CVD film over the full wafer surface.
采用超32nm节点外延硅锗(SiGe)工艺的先进表面清洁度评价技术
外延生长过程强烈依赖于衬底表面清洁度。在本研究中,利用300 mm晶圆上的外延硅锗(SiGe)工艺,研究了32 nm及以上节点的先进表面清洁度评估技术,如光点缺陷(lpd)和雾霾测量。在晶圆干燥过程中形成的小水渍可以在预清洗后检测到小的lpd。这些水渍在外延过程中抑制SiGe的生长。此外,随着预清洗过程和SiGe CVD过程之间排队时间的增加,SiGe膜lpd急剧增加。最后,SURFimage雾度测量被证明是一种强大的先进技术,可以监测整个晶圆表面SiGe CVD膜的局部“异常生长缺陷”和表面形貌。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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