Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

Yinhao Zhu, Nicholas Zabaras, Phaedon-Stelios Koutsourelakis, Paris Perdikaris. Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data. J. Comput. Physics, 394:56-81, 2019. [doi]

@article{ZhuZKP19,
  title = {Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data},
  author = {Yinhao Zhu and Nicholas Zabaras and Phaedon-Stelios Koutsourelakis and Paris Perdikaris},
  year = {2019},
  doi = {10.1016/j.jcp.2019.05.024},
  url = {https://doi.org/10.1016/j.jcp.2019.05.024},
  researchr = {https://researchr.org/publication/ZhuZKP19},
  cites = {0},
  citedby = {0},
  journal = {J. Comput. Physics},
  volume = {394},
  pages = {56-81},
}