This repository is for the following two papers:
- PDE-Net: Learning PDEs from Data(ICML 2018)
- PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network
Source code can be found in another two branches of this repository: PDE-Net & PDE-Net-2.0.
If you find these code useful for your research then please cite
@inproceedings{long2018pde,
title={PDE-Net: Learning PDEs from Data},
author={Long, Zichao and Lu, Yiping and Ma, Xianzhong and Dong, Bin},
booktitle={International Conference on Machine Learning},
pages={3214--3222},
year={2018}
}
@article{long2019pde,
title={PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network},
author={Long, Zichao and Lu, Yiping and Dong, Bin},
journal={Journal of Computational Physics},
pages={108925},
year={2019},
publisher={Elsevier}
}