November 09, 2023 article Deep learning in alloy material microstructures: Application and prospects Materials Today Communications DOI: 10.1016/j.mtcomm.2023.107531 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 28 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 Automated segmentation of martensite-austenite islands in bainitic steel 2022 Materials Characterization article Engineering Microstructure and Mechanical Properties of Steels Open access 47 citations Irregular microstructure-property linkage for cast alloys by a novel deep learning approach: Application on cast austenitic stainless steel 2023 Materials Today Communications article Materials Science Machine Learning in Materials Science 7 citations 2 results