August 28, 2026 article Physics-informed federated scientific machine learning for constitutive modeling under heterogeneous and decentralized data conditions Computers & Structures DOI: 10.1016/j.compstruc.2026.108419 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 Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning 2020 Journal of Computational Physics article Materials Science Machine Learning in Materials Science Open access cited by 3 patents 341 citations SO(3)-invariance of informed-graph-based deep neural network for anisotropic elastoplastic materials 2020 Computer Methods in Applied Mechanics and Engineering article Engineering Elasticity and Material Modeling Open access 129 citations Learning solutions of thermodynamics-based nonlinear constitutive material models using physics-informed neural networks 2024 Computational Mechanics article Physics and Astronomy Model Reduction and Neural Networks 82 citations 3 results