A multi-fidelity data-driven constitutive modeling framework via physics encoding and transfer learning: application to geotechnical engineering problems
Fields of Study & Subjects
Model Reduction and Neural Networks
Elasticity and Material Modeling
Advanced Numerical Methods in Computational Mathematics
Publication details
- Journal / source
- Acta Geotechnica
- Publisher
- Springer Science and Business Media LLC
- Volume
- 21
- Issue
- 7
- Pages
- 4101–4122
- Publication date
- 13 March 2026
- Language
- EN