November 19, 2021 article On the use of data-driven machine learning for remaining life estimation of metallic materials based on Ye-Wang damage theory International Journal of Fatigue DOI: 10.1016/j.ijfatigue.2021.106666 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 34 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access A general physics-informed neural network framework for fatigue life prediction of metallic materials 2025 Engineering Fracture Mechanics article Engineering Fatigue and fracture mechanics Open access 37 citations Interpretable Machine Learning Method for Modelling Fatigue Short Crack Growth Behaviour 2024 Metals and Materials International article Engineering Fatigue and fracture mechanics 19 citations 2 results References 0