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.

Native OpenFOAM for macOS

OpenFOAM framework for simulation of fluid flows using regularized (QGD/QHD) equations.

Solver for two-dimensional conservation equations using the finite volume method in Julia.

Compressible hydro and magneto-hydrodynamics (2nd order Godunov) implemented with MPI+Kokkos

a unified cross-architecture heterogeneous CFD solver

MPI+Kokkos implementation of spectral difference method (SDM) high order schemes

GMSH wrapper, with integrated photonics focus

Finite volume toolbox in Python

🌊 🌊 🌊 Parallel Shallow Water Equations Solver by Finite Volume Method and HLLE Riemann Solver in Julia.

Finite-volume method solver for modelling incompressible fluid flows.

High-order finite volume solver for the shallow water equations

A simple 2D euler equation solver using finite volumes

Advanced manufacturing modeling and simulation

Finite Volume discretised Conduction, Convection, Advection/Diffusion modelling in FORTRAN

Collection of C++ based algorithms on numerics, statistics, control, reinforcement learning, machine learning and robotics

C++ implementation of the finite volume method with flux-limiting to solve 2-D compressible Euler Equations (Liska, 2003)

High-order finite volume solver for the magnetohydrodynamics equations

Deep-learning model for optimised proper orthogonal decomposition of non-linear, hyperbolic, parametric PDEs based on a pre-processing method of the full-order solutions

ENO scheme applied to 1D linear advection problem