自动ECCI映射在毡片或图像化晶圆上低缺陷外延膜分析中的应用与优化

Han Han, T. Hantschel, P. Lagrain, C. Porret, R. Loo, M. Baryshnikova, B. Kunert, Libor Strakoš, T. Vystavěl
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引用次数: 0

摘要

正如摩尔定律所预测的那样,CMOS缩放的物理极限应该在几年前就已经达到了。然而,由于材料质量的不断提高,使得制造纳米尺寸的复杂器件结构成为可能,晶体管的缩放仍在进行中。各种半导体材料(SiGe, III/V)的结构特性和晶体缺陷的最终存在比以往任何时候都起着至关重要的作用。电子通道对比成像(ECCI)是近年来发展起来的一种强大的缺陷分析技术。该技术允许快速和非破坏性的特征与极低的检测限的潜力。对低缺陷材料的分析需要大面积测量以获得统计上相关的数据。自动化ECCI映射程序可以量化低至~1e5 cm-2的晶体缺陷密度,例如生长在Si衬底上的Si0.75Ge0.25应变松弛缓冲(SRB)。本文将讨论在不影响灵敏度的情况下减少总测量时间的方法。测量程序也被优化,以检测III/V层中的扩展晶体缺陷,选择性地生长在浅沟槽隔离图图化硅片上。通过这些例子,本研究证明了ECCI作为一种通用的、与行业相关的缺陷分析技术的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application and Optimization of Automated ECCI Mapping to the Analysis of Lowly Defective Epitaxial Films on Blanket or Patterned Wafers
The physical limits of CMOS scaling, as predicted by Moore's Law, should have already been reached several years ago. However, the scaling of transistors is still ongoing due to continuous improvements in material quality enabling the fabrication of complex device structures with nm-size dimensions. More than ever, the structural properties and the eventual presence of crystalline defects in the various semiconductor materials (SiGe, III/V) play a critical role. Electron channeling contrast imaging (ECCI) is a powerful defect analysis technique developed in recent years. The technique allows for fast and non-destructive characterizations with the potential for extremely low detection limits. The analysis of lowly defective materials requires measurements over large areas to obtain statistically relevant data. Automated ECCI mapping routines enable the quantification of crystalline defect densities as low as ~1e5 cm-2, e.g., Si0.75Ge0.25 strain relaxed buffers (SRB) epitaxially grown on a Si substrate. Methods to reduce the total measurement time without compromising its sensitivity will be discussed. The measurement routine has also been optimized to detect extended crystalline defects in III/V layers, selectively grown on shallow trench isolation patterned Si wafers. Throughout these examples, this study demonstrates the great potential of ECCI as a versatile and industry-relevant technique for defect analysis.
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