Computational Fluid Dynamics (CFD) is a specialized area within fluid mechanics that employs numerical methods and algorithms to simulate the behavior of fluids. It enables engineers and scientists to model and analyze complex flow phenomena, such as air flow around an aircraft wing, water currents in rivers, or heat transfer in industrial equipment. CFD tools provide detailed insights into fluid behavior under various conditions, allowing for optimization of designs, prediction of performance, and troubleshooting of issues in many fields including aerospace, automotive, energy, and environmental engineering. By solving the governing equations of fluid motion (Navier-Stokes equations), CFD can predict velocity, pressure, temperature, and other important variables throughout the domain of interest.
🖥️ Native OpenFOAM for macOS
A curated list of 113 AI-ready tools for Computer-Aided Engineering — CFD, FEA, SPH, DEM, differentiable simulation, neural operators, PINNs, MCP servers. Python APIs, CLI, mesh generation, optimization.
This repository contains HPC application best practices, specifically designed and optimized to run on AWS.
libFastMesh - Optimized Finite Volume Computational Aeroacoustics (CAA) Code
Coupling code to use Dakota with OpenFOAM simulations. The original code was used to run different wind speeds, directions and roughness length within an uncertainty quantification framework. It can be further adapted to run other capabilities of Dakota/OpenFOAM.
Scalable rendering of CFD simulation results realistically. Scene templates to kick-start rendering.
StarCCM+ Design Manager and single run submission for cluster with SLURM job scheduler.
Example of how to run OpenFOAM on a Singularity container through AWS ParallelCluster.
Scalable rendering of CFD simulation results realistically. Scene templates to kick-start rendering.
This is a repository to help people who need scripting to submit Star CCM jobs:
DualSPHysics input files for four wave energy converter benchmarks
The drag of a bullet is calculated at different Mach numbers from data gained in a compressible flow simulation in OpenFOAM
Pioneer documentation: PETSc 3.25.1 + Kokkos + KokkosKernels + Hypre BoomerAMG + SYCL on Intel Arc Pro B70 (Battlemage) for OpenFOAM v2512 GPU offloading. 14 patches from a Plan-I journey, oneAPI 2025.3.3 stack, KK BATCHED-off workaround, ex2 GPU sanity green. Companion to the v13/Ginkgo sister repo.
Industrial mixing processes of many different kinds are peformed on a daily basis. A simple example is given in OpenFOAM.
Run Cloudflare WARP Teams in Docker and expose HTTP and SOCKS5 proxy ports for secure, local access