July 18, 2025 article Open access An automated Machine Learning based approach for a reproducible and efficient evaluation of industrial Charpy V-notch specimens Materials & Design DOI: 10.1016/j.matdes.2025.114424 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 1 References 3 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 Efficient reconstruction of prior austenite grains in steel from etched light optical micrographs using deep learning and annotations from correlative microscopy 2022 Frontiers in Materials article Engineering Microstructure and Mechanical Properties of Steels Open access 21 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 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 3 results