Curated list of some open-source codes for turbulent flow simulations, including turbulent multiphase, turbulent reacting flows, turbulent convection and turbulent atmospheric physics.

Uncertainty Quantification of RANS Data-Driven Turbulence Modeling

Repository for an in-progress 3D, block structured, explicit/implicit, Navier-Stokes solver.

Computational Fluid Dynamics, Waves, Reactions, Plasmas

OpenFOAM implementation of turbulence models driven by machine learning predictions.

🎲 Parameter estimation for Oceananigans using EnsembleKalmanProcesses

A Turbulent CFD solver on CPU and GPU using CUDA and Vulkan

A toolbox for the construction and assessment of subgrid-scale models for large-eddy simulations

Using Machine Learning to Predict Extreme Events in Complex Systems

An extended k-epsilon model integrated with OpenFOAM for simulation of turbine wakes and power losses in wind farms

VERTEX-CFD: a multi-physics solver for fusion applications.

Density-based compressible transient solver using the flux difference splitting scheme of Bui, with shock sensor-based upwinding. Primarily designed for compressible LES.

Progressively data-augmented RANS models for secondary flow predition

Discovering explicit Reynolds-averaged turbulence closures for turbulent separated flows through deep learning-based symbolic regression with non-linear corrections

Modelling of geometry and simulation of Fluid flow using Star CCM+

Implementation of the "standard" Spalart-Allmaras turbulence model for OpenFOAM.

Predicting the pressure and velocity fields of a fluid using the RANS approach with Physics-Informed Neural Networks, specifically Physics Residual Adaptive Networks (PirateNET).

PyAlpha simulates the Alpha turbulence family of equations (Pierrehumbert 1994) pseudo-spectrally.

This repository contains various state-of-the-art deep learning models designed to mitigate turbulence effects in videos and images. These models enhance visual clarity and stability, making them suitable for applications in surveillance, remote sensing, and scientific imaging.

FVM implementation of Eddy Viscosity and Reynolds Stress models for fully developed turbulent channel flow in MATLAB