September 08, 2026 article Open access Decoding microstructure-property relationships in polycrystals: an explainable GNN surrogate for crystal plasticity Machine learning for computational science and engineering DOI: 10.1007/s44379-026-00092-w Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 3 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 An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials 2023 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access 97 citations A Review of FE-FFT-Based Two-Scale Methods for Computational Modeling of Microstructure Evolution and Macroscopic Material Behavior 2022 Archives of Computational Methods in Engineering article Engineering Composite Material Mechanics Open access 77 citations The microstructural effects on the mechanical response of polycrystals: A comparative experimental-numerical study on conventionally and additively manufactured metallic materials 2021 International Journal of Plasticity article Materials Science Microstructure and mechanical properties 53 citations 3 results