May 06, 2020 review Open access Opportunities and Challenges for Machine Learning in Materials Science Annual Review of Materials Research DOI: 10.1146/annurev-matsci-070218-010015 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 532 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 Machine learning-accelerated CALPHAD analysis of impurity-driven intermetallic formation in secondary AlSi7Mg0.3 2026 npj Materials Sustainability article Materials Science Machine Learning in Materials Science Open access 2 citations A data-driven strategy for phase field nucleation modeling 2024 npj Materials Degradation article Materials Science Machine Learning in Materials Science Open access 6 citations 2 results References 0