August 22, 2020 article Open access Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures Computer Methods in Applied Mechanics and Engineering DOI: 10.1016/j.cma.2020.113362 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 80 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 Automated model discovery for human cardiac tissue: Discovering the best model and parameters 2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Engineering Elasticity and Material Modeling Open access 6 citations Machine-learning-based surrogate modeling of microstructure evolution using phase-field 2022 Computational Materials Science article Materials Science Machine Learning in Materials Science 62 citations 2 results References 0