# PINNs

**Repository Path**: DwyaneChou/PINNs

## Basic Information

- **Project Name**: PINNs
- **Description**: M. Raissi et al., JCP, 2019
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
对应代码
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2023-05-02
- **Last Updated**: 2023-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PINNs (Physics-informed Neural Networks)

------------------------


This is a simple implementation of the Physics-informed Neural Networks (PINNs) using ***PyTorch*** and ***Tensorflow***.

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## Attribute

**Original Work**: *Maziar Raissi, Paris Perdikaris, and George Em Karniadakis*

**Github Repo** : https://github.com/maziarraissi/PINNs

**Link:** https://github.com/maziarraissi/PINNs/tree/master/appendix/continuous_time_identification%20(Burgers)

@article{raissi2017physicsI,
  title={Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations},
  author={Raissi, Maziar and Perdikaris, Paris and Karniadakis, George Em},
  journal={arXiv preprint arXiv:1711.10561},
  year={2017}
}

@article{raissi2017physicsII,
  title={Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations},
  author={Raissi, Maziar and Perdikaris, Paris and Karniadakis, George Em},
  journal={arXiv preprint arXiv:1711.10566},
  year={2017}
}

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## Dependencies

Major Dependencies:

 - ***Tensorflow (for Tensorflow Implementation)***: ```pip install --upgrade tensorflow```
 - ***PyTorch (for PyTorch Implementation)***: ```pip install --upgrade torch``
 - ***Jupyter Notebook/Lab***: ```pip install jupyterlab``` (JupyterLab) or ```pip install notebook```

Peripheral Dependencies:
 
 - ***numpy***: ```pip install numpy```
 - ***seaborn***: ```pip install seaborn```
 - ***matplotlib***: ```pip install matplotlib```
 - ***pyDOE (for Tensorflow Implementation)***: ```pip install pyDOE```