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Design Information Improves SEM Defect Review Sampling Efficiency

机译:设计信息可提高SEM缺陷检阅的采样效率

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Defect Pareto quality is improved using design-based binning, which couples layout information from design data with the relative location of each detected defect. SEM review is improved through the binning of systematic and nuisance defects. Brightfield defect inspection results for leading-edge process technologies frequently have very high defect counts, often caused by process or design marginalities that have not yet been identified. A sample of these defects is selected (usually randomly) for SEM review. Two significant issues can occur with random sampling. First, defects can occur over dummy fill or non-critical patterns, which reduce yield learning and waste SEM resources. Second, there is a risk that systematic defects caused by process or design marginalities may not be SEM sampled, or they may not be sampled at the correct ratio.
机译:使用基于设计的合并将缺陷Pareto的质量提高,该合并将来自设计数据的布局信息与每个检测到的缺陷的相对位置相结合。通过对系统缺陷和有害缺陷进行分类,可以改进SEM审查。领先工艺技术的明场缺陷检查结果通常具有很高的缺陷数,这通常是由尚未确定的过程或设计边缘引起的。选择这些缺陷的样本(通常是随机抽取)以进行SEM检查。随机抽样可能会出现两个重大问题。首先,在虚拟填充或非关键图案上可能会出现缺陷,这会减少良率学习并浪费SEM资源。其次,存在由工艺或设计裕度导致的系统缺陷可能无法通过SEM进行采样或无法以正确比例进行采样的风险。

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