February 29, 2020 article Open access Predicting microstructure-dependent mechanical properties in additively manufactured metals with machine- and deep-learning methods Computational Materials Science DOI: 10.1016/j.commatsci.2020.109599 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 187 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 Convolutional neural networks for additively manufactured hot work steel H11: classification and prediction of mechanical properties 2025 The International Journal of Advanced Manufacturing Technology article Materials Science Machine Learning in Materials Science Open access 4 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 Explainable machine learning for predicting the mechanical properties in bainitic steels 2023 Materials & Design article Engineering Microstructure and Mechanical Properties of Steels Open access 17 citations Explainable Machine Learning for Predicting the Mechanical Properties in Bainitic Steels 2023 SSRN Electronic Journal preprint Engineering Microstructure and Mechanical Properties of Steels Open access 0 citations 4 results References 0