November 22, 2020 article Probabilistic physics-guided machine learning for fatigue data analysis Expert Systems with Applications DOI: 10.1016/j.eswa.2020.114316 OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 183 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 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 36 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 Effect of microstructural heterogeneity on fatigue strength predicted by reinforcement machine learning 2022 Fatigue & Fracture of Engineering Materials & Structures article Engineering Fatigue and fracture mechanics Open access 22 citations 4 results References 0