Constitutive model characterization and discovery using physics-informed deep learning

In this repository, the data and codes for the paper titled "constitutive model characterization and discovery using physics-informed deep learning" are shared.

@article{haghighat2022constitutive,
  title={Constitutive model characterization and discovery using physics-informed deep learning},
  author={Haghighat, Ehsan and Abouali, Sahar and Vaziri, Reza},
  journal={arXiv preprint arXiv:2203.09789},
  year={2022}
}

Note: Stochastic implementation relies on transfer learning, with weights coming from a converged training on one dataset.