June 18, 2019 article Open access Machine Learning-Based Classification of Dislocation Microstructures Frontiers in Materials DOI: 10.3389/fmats.2019.00141 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 44 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 Modeling dislocation dynamics data using semantic web technologies 2024 Neural Computing and Applications article Computer Science Semantic Web and Ontologies Open access 2 citations DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials 2023 ACM/SIGAPP Symposium on Applied Computing (SAC) conference-paper Computer Science Semantic Web and Ontologies Open access 3 citations Identification of Martensite Bands in Dual‐Phase Steels: A Deep Learning Object Detection Approach Using Faster Region‐Based‐Convolutional Neural Network 2023 steel research international article Engineering Microstructure and Mechanical Properties of Steels Open access 9 citations Automated Analysis of Continuum Fields from Atomistic Simulations Using Statistical Machine Learning 2022 Advanced Engineering Materials article Materials Science Microstructure and mechanical properties Open access 3 citations 4 results References 0