Trending repositories for topic computational-fluid-dynamics
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
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
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
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.
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
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
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
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
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
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.
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
A code for fast, massively-parallel of two-phase flows with heat transfer
Fluid simulation engine for computer graphics applications
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
Curated list of some open source codes employing lattice Boltzmann methods
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
AthenaPK: a performance portable version of Athena++ built on Parthenon and Kokkos
uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling
Reconstruction of LoD2 3D city models for urban flow simulations
United collection of hybrid Central solvers - one-phase, two-phase and multicomponent versions
A code for fast, massively-parallel of two-phase flows with heat transfer
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
AthenaPK: a performance portable version of Athena++ built on Parthenon and Kokkos
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs and CPUs via OpenCL. Free for non-commercial use.
uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling
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
OpenFOAM implementation of turbulence models driven by machine learning predictions.
Curated list of some open source codes employing lattice Boltzmann methods
A multi-block solver for massively parallel direct numerical simulations (DNS) of fluid flows
Reconstruction of LoD2 3D city models for urban flow simulations
United collection of hybrid Central solvers - one-phase, two-phase and multicomponent versions
A library for wall-modelled Large-Eddy Simulation in OpenFOAM.
🦋 A personal research and development (R&D) lab that facilitates the sharing of knowledge.
An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
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
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
FLEXI: A high order discontinuous Galerkin framework for hyperbolic–parabolic conservation laws
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
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
Curated list of some open source codes employing lattice Boltzmann methods
Current CPU version of our solver for the Navier-Stokes equations
Reconstruction of LoD2 3D city models for urban flow simulations
Ptera Software is a fast, easy-to-use, and open-source software package for analyzing flapping-wing flight.
A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
A code for fast, massively-parallel of two-phase flows with heat transfer
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.
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
AthenaPK: a performance portable version of Athena++ built on Parthenon and Kokkos
A library for wall-modelled Large-Eddy Simulation in OpenFOAM.
uDALES: large-eddy-simulation software for urban flow, dispersion and microclimate modelling
Create Your Own Navier-Stokes Spectral Method Simulation (With Python)
FLEXI: A high order discontinuous Galerkin framework for hyperbolic–parabolic conservation laws