direct-numerical-simulation

Current CPU version of our solver for the Navier-Stokes equations

A code for fast, massively-parallel simulations of two-phase flows with heat transfer

HERCULES: An open-source, massively parallel direct numerical simulation solver

Direct Numerical Simulation of Fluid Flow with IBM Using Python

Turbulence-resolving simulations of boundary-layer flows (DNS & LES)

Open toolkit for high fidelity simulation of turbomachinery aerodynamics based on the 3DNS solver

ASTR: A high-order FDM solver for turbulence and combustion

Canonical direct and large-eddy simulation

second- /fourth-order finite-difference direct numerical simulation (DNS) solver with versatile viscous treatments

A high order finite difference solver for simulations of turbidity currents with high parallel efficiency

BLASTNet Homepage

This repository is a guided tutorial on Pseudo-Spectral method that in long run can help as a basis for study material on Direct Numerical Simulation. The aim is to teach about solving any physics problem numerically.

2d gas-solid two-phase flow simulation with lattice Boltzmann method using Direct Numerical Simulation

Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.

Direct numerical simulation code for the impact of drops onto pools of a different liquid. Collaborative work with the Oxford Fluids Lab. Complements the open-access 2023 Journal of Colloid and Interface Science publication https://doi.org/10.1016/j.jcis.2023.03.040.

Direct numerical simulation code infrastructure for drop impact onto liquid pools in the inertio-capillary regime, supporting collaborative work with the Harris Lab at Brown. Complements the open-access 2023 JFM publication https://doi.org/10.1017/jfm.2023.88 and the modelling tools repository https://github.com/harrislab-brown/BouncingDroplets.

A Parallel Integrated Computational-Statistical Platform for Homogeneous Turbulent Transport

A GPU-accelerated pseudo-spectral solver for direct numerical simulation of the 3D incompressible Navier–Stokes equations, written in JAX.

Physics-inspired neural network (PINN) model of forces and torques in particle-laden flows

Rocking wave bioreactor open-source software repository (Basilisk C), supporting collaborative work with the Harris Lab at Brown University. Complements the publication available at https://doi.org/10.1016/j.ijmultiphaseflow.2025.105375 and the preprint available at https://arxiv.org/abs/2504.05421.