ESD Stress Data Analysis with Machine Learning: A Case Study

被引：0

作者：

Middaugh, Caige ^{[1
]}

Nourani, Mehrdad ^{[1
]}

Duvvury, Charvaka ^{[2
]}

Schichl, Joe ^{[2
]}

机构：

[1] Univ Texas Dallas, Richardson, TX 75083 USA

[2] iT2 Technol, Troy, NY USA

来源：

2023 45TH ANNUAL EOS/ESD SYMPOSIUM, EOS/ESD | 2023年

关键词：

D O I：

10.23919/EOS/ESD58195.2023.10287736

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents a pioneering examination of using Machine Learning (ML) for applications to ESD data analysis. It involves demonstrating how post ESD stress IV curve data can lead to machine learning opportunities. The proposed technique can significantly reduce the iterations between product test and ESD design engineers and thus shortening time to market.

引用

页数：9

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