Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George E. Karniadakis. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations. J. Comput. Physics, 378:686-707, 2019. [doi]

@article{RaissiPK19,
  title = {Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations},
  author = {Maziar Raissi and Paris Perdikaris and George E. Karniadakis},
  year = {2019},
  doi = {10.1016/j.jcp.2018.10.045},
  url = {https://doi.org/10.1016/j.jcp.2018.10.045},
  researchr = {https://researchr.org/publication/RaissiPK19},
  cites = {0},
  citedby = {0},
  journal = {J. Comput. Physics},
  volume = {378},
  pages = {686-707},
}