PaddlePaddle/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.
This project helps fluid mechanics engineers and researchers accelerate complex simulations and design tasks. It takes detailed fluid dynamics data and physical parameters, then uses deep learning to quickly predict fluid behavior, optimize shapes for better flow, or discover new control strategies. This is ideal for those working in aerospace, automotive design, or any field involving fluid systems.
Use this if you need to rapidly prototype designs, explore different fluid flow scenarios, or discover optimal configurations without running time-consuming traditional simulations.
Not ideal if you require absolute physical precision where interpretability and direct adherence to first principles are paramount, or if you lack the computational resources for deep learning.
Stars
59
Forks
17
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 03, 2026
Commits (30d)
0
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