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Guillaume Lambard

National Institute for Materials Science

Tsukuba, 305-0047

Japan

SCHOLARLY PAPERS

2

DOWNLOADS

107

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

Data-Driven Prediction of Fatigue Crack Growth Rate in Low-Alloy Steels in High-Pressure Hydrogen Gas Using Processing Parameters and Microstructure Images

Number of pages: 54 Posted: 12 Jul 2025
Kyushu University, National Institute for Materials Science, National Institute for Materials Science and Kyushu University
Downloads 68 (891,180)

Abstract:

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Machine Learning, Hydrogen embrittlement, Fatigue life prediction, Low-alloy steel, Fatigue crack-growth, Data-driven approach, Image analysis

2.

Madgui: Multi-Application Design Graphical User Interface for Active Learning Assisted by Bayesian Optimization

Number of pages: 14 Posted: 05 Jun 2024
Christophe Bajan and Guillaume Lambard
National Institute for Materials Science and National Institute for Materials Science
Downloads 39 (1,196,171)

Abstract:

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Graphical User Interface, Statistical analysis, Machine learning, Bayesian Optimization, Process Optimization, User-friendly