pauloacs/DLpisoFoam
Machine Learning enhanced CFD solvers: isothermal & thermal fluid flow
This project offers an accelerated way to run Computational Fluid Dynamics (CFD) simulations for fluid flow. It takes your existing OpenFOAM simulation data, uses it to train a specialized machine learning model, and then integrates that model into an OpenFOAM solver to produce faster, more efficient simulations of fluid behavior, including both isothermal and thermal flows. Engineers, researchers, and scientists performing complex fluid dynamics analyses would use this tool.
Use this if you need to perform many CFD simulations and want to significantly reduce the computational time required for accurate results.
Not ideal if you are new to CFD or OpenFOAM, as it requires familiarity with setting up and running existing CFD simulations to generate training data.
Stars
20
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Language
C++
License
MIT
Category
Last pushed
Mar 01, 2026
Commits (30d)
0
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