README.md

Physics-Informed-Neural-Networks-Multitask-Learning

The code implements the multi-task physics-informed neural networks first proposed in https://arxiv.org/abs/2104.14320. Please find more examples supporting the paper below from this link (Password: MTL-PINN).

Citation

@inproceedings{thanasutives2021adversarial,
  title={Adversarial multi-task learning enhanced physics-informed neural networks for solving partial differential equations},
  author={Thanasutives, Pongpisit and Numao, Masayuki and Fukui, Ken-ichi},
  booktitle={2021 International Joint Conference on Neural Networks (IJCNN)},
  pages={1--9},
  year={2021},
  organization={IEEE}
}