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In-line methodology for defectivity analysis from dark field wafer inspection to defect root cause analysis using FIB cut

机译:从暗场晶片检测缺陷分析的缺陷分析,使用FIB切割分析缺陷根本原因分析

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In line defectivity monitoring needs to handle and process a huge amount of data in order to control and analyze the yield impacting defects in an advanced CMOS line (120, 90, 65 and 45nm design rule). These data need to be processed in order to detect and classify the different defect types, and then analyze the impact on the yield of each defect type. Only a fully integrated and automated methodology can be powerful enough to process the data provided by the wafer inspection tools in order to sample the most critical defects to be finally cross-sectioned using Focus Ion Beam (FIB). The purpose of this paper is to present a methodology, developed at Crolles2 Alliance, compatible with the needs described above in a 300mm production environment.
机译:在线缺陷监视需要处理和处理大量数据,以便控制和分析高级CMOS线(120,90,65和45nm设计规则)中的产量冲击缺陷。需要处理这些数据,以便检测和分类不同的缺陷类型,然后分析对每个缺陷类型的产量的影响。只有完全集成和自动化的方法可以足够强大,以处理晶圆检测工具提供的数据,以便使用聚焦离子束(FIB)最终横截面的最关键的缺陷。本文的目的是提出一种在Crolles2联盟中开发的方法,与上述300mm生产环境中的需要兼容。

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