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Identifying Wafer Fabrication Defect Signatures

机译:识别晶片制造缺陷签名

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We introduce a system called IDS for diagnosing semiconductor fabrication process. IDS can identify the carryover defect that contributed to a defective cluster captured by an in-line inspection tool during a specific fabrication processing step. Let Rx be a defective cluster captured by an in-line inspection tool during the fabrication processing step psu First, IDS would identify the defect type of Rx by comparing the image of Rx with the images in reference wafer maps of previous defect clusters captured at psu Let dj be the identified defect type. IDS would use rules of inferences for identifying the root cause of dj. It will utilize dj as a trigger for the appropriate defect specification rules using the standard rules of inferences. By applying the defect specification rules recursively using the inference rules, IDS can identify the root cause of dj. We experimentally evaluated the quality of IDS. Results revealed marked prediction accuracy.
机译:我们介绍一种称为IDS的系统,用于诊断半导体制造过程。 ID可以识别对特定制造处理步骤期间由在线检查工具捕获的有缺陷群集的携带缺陷。让Rx成为在制造处理步骤PSU期间由在线检查工具捕获的有缺陷的集群首先,通过将Rx的图像与在PSU捕获的前一缺陷集群的参考晶片映射中的图像中的图像进行比较,IDS将识别RX的缺陷类型的Rx让DJ是识别的缺陷类型。 ID将使用推断规则来识别DJ的根本原因。它将使用DJ作为使用标准推断规则作为适当的缺陷规范规则的触发器。通过使用推理规则递归地应用缺陷规范规则,ID可以识别DJ的根本原因。我们通过实验评估了ID的质量。结果显示出明显的预测准确性。

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