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

机译:基于设计的高级技术节点的自动缺陷分类: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:由于半导体行业继续前进到较小且较小的节点,缺陷综述扫描电子显微镜(DR-SEM)和ADC(自动缺陷分类)面临越来越困难的挑战。感兴趣的缺陷(DOI)缩小,因为特征缩小,导致纯粹基于比例的成像难度。此外,在先前步骤中创建的多个图案化步骤或DOI期间,为DOI形成了更复杂的缺陷分析。必须采用智能方法,允许高质量的缺陷分类,专注于根本原因分析和在短循环时间内的产量预测。在本文中,我们提出了新颖方法的结果:基于设计的ADC(DBA)。在此,组合使用当前DR-SEM和ADC平台的设计信息,导致卓越且稳健的分类。

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