September 17, 2022 article A physics-informed neural network approach to fatigue life prediction using small quantity of samples International Journal of Fatigue DOI: 10.1016/j.ijfatigue.2022.107270 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 177 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 38 citations Probabilistic fatigue life prediction in additive manufacturing materials with a physics-informed neural network framework 2025 Expert Systems with Applications article Engineering Fatigue and fracture mechanics 37 citations A physics-informed neural network approach for predicting fatigue life of SLM 316L stainless steel based on defect features 2024 International Journal of Fatigue article Engineering Fatigue and fracture mechanics 62 citations 3 results References 0