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Classification of Killer and Non-Killer Silicon Carbide Epitaxial Defects and Accurate Prediction of Device Yield

机译:杀手和非杀手碳化硅外延缺陷的分类和设备产量的精确预测

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The identification and classification of all defects present in Silicon Carbide device material is very important for the successful proliferation of SiC power devices. The various classes of defects affect not only yield, but can also cause reliability issues. In this work, we present the identification of silicon carbide epitaxial defects and their classifications into various defect types. Further these are categorized into killer and non killer defects and verified by electrical tests on commercial diode wafers. The sources of these classified defects are identified and a clustering model is built, which is verified by comparing yield on wafers fabricated with different die sizes.
机译:碳化硅器件材料中存在的所有缺陷的识别和分类对于SiC动力装置的成功增殖非常重要。各种缺陷不仅影响产量,而且还可以造成可靠性问题。在这项工作中,我们展示了碳化硅外延缺陷及其分类成各种缺陷类型。此外,这些被分类为杀伤者和非杀伤缺陷,并通过商业二极管晶片上的电气测试验证。鉴定了这些分类缺陷的来源,并建立了一种聚类模型,通过比较用不同模具尺寸制造的晶片的产量进行验证。

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