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)

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

Canonical direct and large-eddy simulation

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

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

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

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

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.

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

A Parallel Integrated Computational-Statistical Platform for Homogeneous Turbulent Transport

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

This repository is dedicated to the individual research project by International Master's in Turbulence (IMP-Turbulence) 2019 batch.

Turbulence in a box

Direct numerical simulation of particle-laden and bubble flows.

A hybrid approach combining texture-based (GLCM) and deep learning (ResNet50) features with unsupervised clustering and supervised classification for detecting liver diseases. Achieved 99%-100% accuracy using SVM, XGBoost, and Random Forest on pseudo-labeled medical imaging datasets