Automated measurement and analysis of sidewall roughness using three-dimensional atomic force microscopy

Q3 Immunology and Microbiology
Su-Been Yoo, Seong-Hun Yun, Ah-Jin Jo, Sang-Joon Cho, Haneol Cho, Jun-Ho Lee, Byoung-Woon Ahn
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引用次数: 1

Abstract

As semiconductor device architecture develops, from planar field-effect transistors (FET) to FinFET and gate-all-around (GAA), there is an increased need to measure 3D structure sidewalls precisely. Here, we present a 3-Dimensional Atomic Force Microscope (3D-AFM), a powerful 3D metrology tool to measure the sidewall roughness (SWR) of vertical and undercut structures. First, we measured three different dies repeatedly to calculate reproducibility in die level. Reproducible results were derived with a relative standard deviation under 2%. Second, we measured 13 different dies, including the center and edge of the wafer, to analyze SWR distribution in wafer level and reliable results were measured. All analysis was performed using a novel algorithm, including auto flattening, sidewall detection, and SWR calculation. In addition, SWR automatic analysis software was implemented to reduce analysis time and to provide standard analysis. The results suggest that our 3D-AFM, based on the tilted Z scanner, will enable an advanced methodology for automated 3D measurement and analysis.

利用三维原子力显微镜自动测量和分析侧壁粗糙度
随着半导体器件架构的发展,从平面场效应晶体管(FET)到FinFET和栅极全能(GAA),精确测量三维结构侧壁的需求越来越大。在这里,我们提出了一种三维原子力显微镜(3D- afm),一种强大的三维测量工具,用于测量垂直和下切结构的侧壁粗糙度(SWR)。首先,我们反复测量了三种不同的模具,以计算模具水平的再现性。结果重复性好,相对标准偏差小于2%。其次,我们测量了13个不同的芯片,包括晶圆中心和边缘,分析了晶圆级的SWR分布,并测量了可靠的结果。所有的分析都使用了一种新颖的算法,包括自动压平、侧壁检测和SWR计算。此外,实现了SWR自动分析软件,以减少分析时间并提供标准分析。结果表明,基于倾斜Z型扫描仪的3D- afm将为自动化3D测量和分析提供先进的方法。
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来源期刊
Applied Microscopy
Applied Microscopy Immunology and Microbiology-Applied Microbiology and Biotechnology
CiteScore
3.40
自引率
0.00%
发文量
10
审稿时长
10 weeks
期刊介绍: Applied Microscopy is a peer-reviewed journal sponsored by the Korean Society of Microscopy. The journal covers all the interdisciplinary fields of technological developments in new microscopy methods and instrumentation and their applications to biological or materials science for determining structure and chemistry. ISSN: 22875123, 22874445.
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