September 21, 2018 article An efficient machine learning approach to establish structure-property linkages Computational Materials Science DOI: 10.1016/j.commatsci.2018.09.034 OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 91 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 Exploring structure–property relations in dual phase steels using crystal plasticity and variance based global sensitivity analysis 2025 Materials & Design article Engineering Microstructure and Mechanical Properties of Steels Open access 11 citations Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties 2024 Machine Learning with Applications article Materials Science Machine Learning in Materials Science Open access 22 citations Machine learning-based identification of interpretable process-structure linkages in metal additive manufacturing 2023 Additive manufacturing article Engineering Additive Manufacturing Materials and Processes 40 citations 3 results References 0