January 01, 2025 book-chapter Material Modeling with Neural Networks Springer eBooks DOI: 10.1007/978-3-031-89529-6_7 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 4 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 Theory and implementation of inelastic Constitutive Artificial Neural Networks 2024 Computer Methods in Applied Mechanics and Engineering article Engineering Elasticity and Material Modeling Open access 84 citations Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials 2021 International Journal for Numerical Methods in Engineering article Engineering Elasticity and Material Modeling Open access 60 citations Nonlinear multiscale simulation of elastic beam lattices with anisotropic homogenized constitutive models based on artificial neural networks 2021 Computational Mechanics article Engineering Composite Material Mechanics Open access 27 citations 4 results