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Design based automatic defect classification at advanced technology nodes: DI: Defect inspection and reduction

机译:在先进技术节点上基于设计的自动缺陷分类:DI:缺陷检查和减少

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As the semiconductor industry continues to advance to smaller and smaller nodes, Defect Review Scanning Electron Microscopy (DR-SEM) and ADC (Automatic Defect Classification) face increasingly difficult challenges. The Defects of Interest (DOI) shrink as the features shrink, leading to imaging difficulty purely based on scale. Also, more complex defect analysis is required for DOI's formed during multiple patterning steps or DOI's created in previous steps. A smart approach to ADC must be adopted which allows for high quality defect classification focused on root cause analysis and yield prediction in short cycle times. In this paper, we present results from novel approach: Design Based ADC (DBA). Here, design information with current DR-SEM and ADC platforms is combined, leading to superior and robust classification.
机译:随着半导体工业继续发展到越来越小的节点,缺陷检查扫描电子显微镜(DR-SEM)和ADC(自动缺陷分类)面临着越来越艰巨的挑战。感兴趣的缺陷(DOI)随着特征的缩小而缩小,从而导致纯粹基于比例尺的成像困难。同样,对于在多个构图步骤中形成的DOI或在先前步骤中创建的DOI,需要进行更复杂的缺陷分析。必须采用一种智能的ADC方法,以便在短周期内集中于根本原因分析和成品率预测的高质量缺陷分类。在本文中,我们介绍了新颖方法的结果:基于设计的ADC(DBA)。在这里,结合了当前DR-SEM和ADC平台的设计信息,从而实现了卓越而强大的分类。

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