Optical and tactile measurements on SiC sample defects

IF 0.8 Q4 INSTRUMENTS & INSTRUMENTATION
J. Grundmann, Bernd Bodermann, Elena Ermilova, Matthias Weise, Andreas Hertwig, Petr Klapetek, Jila Rafighdoost, Silvania F. Pereira
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引用次数: 0

Abstract

Abstract. In power electronics, compound semiconductors with large bandgaps, like silicon carbide (SiC), are increasingly being used as material instead of silicon. They have a lot of advantages over silicon but are also intolerant of nanoscale material defects, so that a defect inspection with high accuracy is needed. The different defect types on SiC samples are measured with various measurement methods, including optical and tactile methods. The defect types investigated include carrots, particles, polytype inclusions and threading dislocations, and they are analysed with imaging ellipsometry, coherent Fourier scatterometry (CFS), white light interference microscopy (WLIM) and atomic force microscopy (AFM). These different measurement methods are used to investigate which method is most sensitive for which type of defect to be able to use the measurement methods more effectively. It is important to be able to identify the defects to classify them as critical or non-critical for the functionality of the end product. Once these investigations have been completed, the measurement systems can be optimally distributed to the relevant defects in further work to realize a hybrid analysis of the defects. In addition to the identification and classification of defects, such a future hybrid analysis could also include characterizations, e.g. further evaluation of ellipsometric data by using numerical simulations.
对碳化硅样品缺陷进行光学和触觉测量
摘要。在电力电子领域,碳化硅(SiC)等具有大带隙的化合物半导体正越来越多地被用作替代硅的材料。与硅相比,碳化硅具有很多优点,但也不能容忍纳米级的材料缺陷,因此需要高精度的缺陷检测。我们采用各种测量方法,包括光学和触觉方法,对 SiC 样品上的不同缺陷类型进行了测量。调查的缺陷类型包括胡萝卜、颗粒、多型夹杂物和穿线位错,并通过成像椭偏仪、相干傅里叶散射仪 (CFS)、白光干涉显微镜 (WLIM) 和原子力显微镜 (AFM) 进行分析。利用这些不同的测量方法来研究哪种方法对哪种类型的缺陷最敏感,以便更有效地使用这些测量方法。重要的是,要能够识别缺陷,并将其划分为对最终产品功能至关重要或不重要的类别。一旦完成这些调查,就可以在进一步的工作中将测量系统最优化地分配到相关缺陷上,从而实现对缺陷的混合分析。除了对缺陷进行识别和分类外,这种未来的混合分析还可以包括特征描述,例如通过使用数值模拟对椭偏仪数据进行进一步评估。
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来源期刊
Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.30
自引率
10.00%
发文量
26
审稿时长
23 weeks
期刊介绍: Journal of Sensors and Sensor Systems (JSSS) is an international open-access journal dedicated to science, application, and advancement of sensors and sensors as part of measurement systems. The emphasis is on sensor principles and phenomena, measuring systems, sensor technologies, and applications. The goal of JSSS is to provide a platform for scientists and professionals in academia – as well as for developers, engineers, and users – to discuss new developments and advancements in sensors and sensor systems.
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