基于LOF-KNN方法的片级空间计量参数可靠性危害表征

Jinli Zhang, Hailong You, Renxu Jia
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引用次数: 2

摘要

本文提出了一种利用晶圆级空间分析表征器件可靠性危害的新方法。该方法基于LOF算法和KNN算法的结合,可以有效地识别和量化设备的可靠性,并检测局部异常值。异常设备往往存在严重的可靠性隐患。这种方法考虑到由于晶圆上的工艺变化而导致的器件测量数据的变化,从而提高了器件的可靠性并节省了成本。通过对器件电参数的测量,验证了该方法的有效性。结果与传统方法进行了比较。
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Reliability hazard characterization of wafer-level spatial metrology parameters based on LOF-KNN method
This paper presents a new method for characterizing device reliability hazard by using wafer-level spatial analysis. The method is based on the combination of the LOF algorithm and KNN algorithm, which can effectively identify and quantify the reliability of the device and detect local outliers. Outlier devices often have serious reliability hazard. This approach takes into account variations in device measurement data due to process variations on the wafer, increasing device reliability and saving cost. The method is verified using the electrical parameter measurements of devices. The results are compared with traditional method.
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