Trending repositories for topic computational-fluid-dynamics
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.
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
This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.
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
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
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.
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
This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.
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
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
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.
Fluid simulation engine for computer graphics applications
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
Curated list of some open source codes employing lattice Boltzmann methods
Reconstruction of LoD2 3D city models for urban flow simulations
United collection of hybrid Central solvers - one-phase, two-phase and multicomponent versions
Current CPU version of our solver for the Navier-Stokes equations
Advanced Simulation Library - hardware accelerated multiphysics simulation platform.
A library for wall-modelled Large-Eddy Simulation in OpenFOAM.
SPH-EXA is a C++20 simulation code for performing hydrodynamics simulations (with gravity and other physics), parallelized with MPI, OpenMP, CUDA, and HIP.
This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.
GALÆXI: A high order discontinuous Galerkin framework for compressible flows on GPU systems
A library for wall-modelled Large-Eddy Simulation in OpenFOAM.
Reconstruction of LoD2 3D city models for urban flow simulations
United collection of hybrid Central solvers - one-phase, two-phase and multicomponent versions
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
Curated list of some open source codes employing lattice Boltzmann methods
SPH-EXA is a C++20 simulation code for performing hydrodynamics simulations (with gravity and other physics), parallelized with MPI, OpenMP, CUDA, and HIP.
Create Your Own Navier-Stokes Spectral Method Simulation (With Python)
This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Fluid simulation engine for computer graphics applications
This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.
Repository for the open-source lethe CFD/DEM/CFD-DEM project
Reconstruction of LoD2 3D city models for urban flow simulations
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 code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
Curated list of some open source codes employing lattice Boltzmann methods
FLEXI: A high order discontinuous Galerkin framework for hyperbolic–parabolic conservation laws
Ptera Software is a fast, easy-to-use, and open-source software package for analyzing flapping-wing flight.
This curriculum module introduces foundational concepts for solving the Navier-Stokes equations, including methods for interface advection and fluid-structure-interaction.
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
A code for fast, massively-parallel simulations of two-phase flows with heat transfer
GALÆXI: A high order discontinuous Galerkin framework for compressible flows on GPU systems
OpenFOAM implementation of turbulence models driven by machine learning predictions.
Reconstruction of LoD2 3D city models for urban flow simulations
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
Create Your Own Navier-Stokes Spectral Method Simulation (With Python)
AthenaPK: a performance portable version of Athena++ built on Parthenon and Kokkos
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
uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling
Current CPU version of our solver for the Navier-Stokes equations