Physics-informed deep neural network framework for prediction of fatigue crack growth in LPBF-manufactured metallic alloys

International Journal of Fatigue 2026

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Authors: A. Ince

DOI: 10.1016/j.ijfatigue.2026.109522

Cited by: 2

References: 26

Fields of Study & Subjects

Additive Manufacturing Materials and Processes Fatigue and fracture mechanics Titanium Alloys Microstructure and Properties

References 26