Multifidelity deep operator networks for data-driven and physics-informed problems

Amanda A. Howard, Mauro Perego, George Em Karniadakis, Panos Stinis. Multifidelity deep operator networks for data-driven and physics-informed problems. J. Comput. Physics, 493:112462, November 2023. [doi]

@article{HowardPKS23,
  title = {Multifidelity deep operator networks for data-driven and physics-informed problems},
  author = {Amanda A. Howard and Mauro Perego and George Em Karniadakis and Panos Stinis},
  year = {2023},
  month = {November},
  doi = {10.1016/j.jcp.2023.112462},
  url = {https://doi.org/10.1016/j.jcp.2023.112462},
  researchr = {https://researchr.org/publication/HowardPKS23},
  cites = {0},
  citedby = {0},
  journal = {J. Comput. Physics},
  volume = {493},
  pages = {112462},
}