pauloacs/Solving-Poisson-s-Equation-through-DL-for-CFD-apllications

ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation

45
/ 100
Emerging

This project helps fluid dynamics engineers and researchers accelerate their computational fluid dynamics (CFD) simulations by providing machine learning models to solve the pressure Poisson equation. It takes as input the flow field data within a given geometry and outputs a more efficient solution to the pressure calculation, which is a key component of CFD solvers. The end-user is typically an engineer or scientist working with fluid flow simulations.

Use this if you are a fluid dynamics practitioner looking to integrate deep learning surrogate models into your CFD workflow to speed up pressure calculations.

Not ideal if you are not working with computational fluid dynamics or are seeking a complete, ready-to-use CFD solver rather than specific components for enhancement.

computational-fluid-dynamics fluid-simulation pressure-solver engineering-simulation aerodynamics
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

10

Forks

3

Language

C++

License

MIT

Last pushed

Jan 15, 2026

Commits (30d)

0

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