Computational Fluid Dynamics
Showing 10 of 10 projects
A framework for building parallel, multi-disciplinary simulation software, focusing on modularity, extensibility, and high-performance computing.
A differentiable, massively parallel Lattice Boltzmann library in Python for physics-based machine learning and fluid dynamics simulations.
A Gazebo-based simulator for Unmanned Surface Vehicles with realistic environmental disturbances like water currents, winds, and waves.
A curated list of awesome Fortran frameworks, libraries, and software for scientific and high-performance computing.
An exascale many-physics flow solver for compressible multi-phase simulations, scaling to 200 trillion grid points on 43K+ GPUs.
An interactive book about Riemann problems and approximate solvers for hyperbolic PDEs, implemented in Jupyter notebooks.
A lightweight Python tool for aerostructural optimization of aircraft wings using OpenMDAO.
An open-source Fortran 2003 solver for Navier-Stokes equations using finite volume methods with parallel computing capabilities.
A differentiable hydrodynamics and magnetohydrodynamics code for astrophysics built with JAX, enabling gradient-based inverse modeling and multi-GPU simulations.
A Python library for accelerated fluid-structure interaction simulations using the immersed boundary lattice Boltzmann method, powered by JAX.
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