A physics-informed data-driven framework for modeling hyperelastic materials with progressive damage and failure
Fields of Study & Subjects
Model Reduction and Neural Networks
Elasticity and Material Modeling
Machine Learning in Materials Science
Publication details
- Journal / source
- Mechanics of Materials
- Publisher
- Elsevier BV
- Volume
- 218
- Pages
- 105680–105680
- Publication date
- 4 April 2026
- Language
- EN