# PDE-Net

**Repository Path**: key_rongji/PDE-Net

## Basic Information

- **Project Name**: PDE-Net
- **Description**: 深度学习求解偏微分方程
- **Primary Language**: Python
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2021-12-26
- **Last Updated**: 2023-12-08

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PDE-Net & PDE-Net 2.0

This repository is for the following two papers:

- [PDE-Net](https://arxiv.org/abs/1710.09668): Learning PDEs from Data[(ICML 2018)](https://icml.cc/Conferences/2018)
- [PDE-Net 2.0](https://arxiv.org/abs/1812.04426): 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](https://github.com/ZichaoLong/PDE-Net/tree/PDE-Net) & [PDE-Net-2.0](https://github.com/ZichaoLong/PDE-Net/tree/PDE-Net-2.0).

<div  align="center">
<img src="figures/pdenet.jpg" width = "60%" />
</div>

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}
}
```