Tsukuba, 305-0047
Japan
National Institute for Materials Science
Machine Learning, Hydrogen embrittlement, Fatigue life prediction, Low-alloy steel, Fatigue crack-growth, Data-driven approach, Image analysis
Graphical User Interface, Statistical analysis, Machine learning, Bayesian Optimization, Process Optimization, User-friendly