On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling
- Award ID(s):
- 2129776
- NSF-PAR ID:
- 10389931
- Date Published:
- Journal Name:
- Computer Methods in Applied Mechanics and Engineering
- Volume:
- 394
- Issue:
- C
- ISSN:
- 0045-7825
- Page Range / eLocation ID:
- 114915
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
No document suggestions found