MRM2023/IUMRS-ICA2023 [DEMO]

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Oral Session

F. Functional & Structural » [F-1] Future prospect of DX-driven development in structural materials

[F1-O301] Oral 301

Wed. Dec 13, 2023 10:00 AM - 12:20 PM Session 13 (Room I)

Chair: Motomichi Koyama (Tohoku University)

11:40 AM - 12:00 PM

[F1-O301-04] Fatigue Property Prediction By Machine Learning For Low-Alloy Steels In A
Hydrogen Environment

*Timothee Redarce1, Hisao Matsunaga1, Guillaume Lambard2 (1. Kyushu Univ. (Japan), 2. National Inst. for Materials Sci. (Japan))

Keywords:Metal Fatigue, Hydrogen Storage, Hydrogen Embrittlement, Machine Learning, Property Prediction

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