March 06, 2026 article Open access Machine Learning Meets Fracture Mechanics: What Can We Learn? Archives of Computational Methods in Engineering DOI: 10.1007/s11831-026-10533-7 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 1 References 2 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 Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning 2020 Journal of Computational Physics article Materials Science Machine Learning in Materials Science Open access cited by 3 patents 341 citations Explainable machine learning for precise fatigue crack tip detection 2022 Scientific Reports article Engineering Fatigue and fracture mechanics Open access cited by 3 patents 44 citations 2 results