The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.

Fluid simulation engine for computer graphics applications

Computational Fluid Dynamics in JAX

Fire Dynamics Simulator

Lunar lander type game with computational fluid dynamics

Computational Fluid Dynamics (CFD) for FreeCAD based on OpenFOAM solver

💧CFD(计算流体力学)资料汇总、学习笔记，欢迎补充...

Differentiable Fluid Dynamics Package

SPHinXsys provides C++ APIs for engineering simulation and optimization. It aims at complex systems driven by fluid, structure, multi-body dynamics and beyond. The multi-physics library is based on a unique and unified computational framework by which strong coupling has been achieved for all involved physics.

A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

Repository for the open-source lethe CFD/DEM/CFD-DEM project

An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy

Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs

Unstructured Compressible Navier Stokes 3D code (UCNS3D)

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey

This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.

A personal research and development (R&D) lab that facilitates the sharing of knowledge.

Voxel-based fluid simulation engine for computer games

Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method

FLEXI: A high order discontinuous Galerkin framework for hyperbolic–parabolic conservation laws

Examples of how to use machine learning algorithms in computational fluid dynamics.

A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows

Curated list of some open source codes employing lattice Boltzmann methods

Advanced Simulation Library - hardware accelerated multiphysics simulation platform.

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

Current CPU version of our solver for the Navier-Stokes equations

A simple full-python 2D lattice-boltzmann code

Basic Computational Fluid Dynamics (CFD) schemes implemented in FORTRAN using Finite-Volume and Finite-Difference Methods. Sample simulations and figures are provided.

This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.

ExaDG - High-Order Discontinuous Galerkin for the Exa-Scale