Machine learning approach for prediction of hydrogen environment embrittlement in austenitic steels

This study introduces a machine learning approach to predict the effect of alloying elements and test conditions on the hydrogen environment embrittlement (HEE) index of austenitic steels for the first time. The correlation between input features and the HEE index was analyzed with Pearson's co...

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Bibliographic Details
Main Authors: Sang-Gyu Kim, Seung-Hyeok Shin, Byoungchul Hwang
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Journal of Materials Research and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785422009073