"On physics-informed data-driven isotropic and anisotropic constitutive ..."

Jan Niklas Fuhg, Nikolaos Bouklas (2021)

> Home

Details and statistics

DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-09-27

- view
  - electronic edition @ arxiv.org (open access)
- export record
  dblp key:
  - journals/corr/abs-2109-11028
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2109-11028
Jan Niklas Fuhg, Nikolaos Bouklas:
On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling. CoRR abs/2109.11028 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.