halimarefat/torchFOAM
Using PyTorch within OpenFOAM
This project helps computational fluid dynamics (CFD) engineers and researchers integrate machine learning models built with PyTorch directly into their OpenFOAM simulations. You can bring trained PyTorch models into your OpenFOAM workflow to enhance or accelerate simulations, leveraging advanced machine learning techniques within traditional CFD. It is designed for engineers and scientists who use OpenFOAM for complex fluid dynamics problems and want to incorporate deep learning.
No commits in the last 6 months.
Use this if you are an OpenFOAM user who wants to embed custom PyTorch-based machine learning models directly into your CFD simulations without exporting data or switching environments.
Not ideal if you are looking for a standalone machine learning framework or a general-purpose OpenFOAM extension that doesn't specifically involve PyTorch.
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Language
Jupyter Notebook
License
MIT
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Last pushed
May 21, 2024
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