# PaddleCFD

## About PaddleCFD

PaddleCFD is a deep learning toolkit for surrogate modeling, equation discovery, shape optimization and flow-control strategy discovery in the field of fluid mechanics. Currently, it mainly supports surrogate modeling, including models based on fourier neural operator (FNO), diffusion model, transformer, physics-informed model and Kolmogorov-Arnold Networks (KAN).

## Code structure

- `config`: config files for different tasks
- `doc`: documentation
- `examples`: example scripts
- `ppcfd/data`: data-process source code
- `ppcfd/model`: model source code
- `ppcfd/utils`: util code


PaddleCFD is a deep learning toolkit for surrogate modeling, equation discovery, shape optimization and flow-control strategy discovery in the field of fluid mechanics.

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ppcfd

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ppcfd

PaddleCFD

About PaddleCFD

Code structure

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