July 22, 2026 article Open access A Hierarchical Deep Symbolic AI Method for Closed‐Form, Interpretable Constitutive Modeling International Journal for Numerical Methods in Engineering DOI: 10.1002/nme.70387 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 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 Automatic generation of interpretable hyperelastic material models by symbolic regression 2023 International Journal for Numerical Methods in Engineering article Engineering Elasticity and Material Modeling Open access 54 citations Rediscovering Hyperelasticity by Deep Symbolic Regression 2025 SSRN Electronic Journal preprint Engineering Elasticity and Material Modeling Open access 1 citations 3 results