April 17, 2020 article Deep Learning for fractographic classification in metallic materials Engineering Failure Analysis DOI: 10.1016/j.engfailanal.2020.104532 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 47 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 Prediction of statistical force–displacement curves of Charpy-V impact tests based on unsupervised fracture surface machine learning 2025 Engineering Failure Analysis article Engineering Fatigue and fracture mechanics Open access 5 citations Extracting ductile cast iron microstructure parameters from fracture surfaces: A deep learning based instance segmentation approach 2024 Engineering Fracture Mechanics article Engineering Mechanical Failure Analysis and Simulation Open access 10 citations Deep learning based initial crack size measurements utilizing macroscale fracture surface segmentation 2023 Engineering Fracture Mechanics article Engineering Fatigue and fracture mechanics Open access 21 citations 3 results References 0