Name: Dr. Raj K. Saini
Type: User
Company: IIT Delhi, IIT Bombay, IIT Madras
Bio: CFD Analyst,Consultant,Chemical Engineer, Multiphase flow, Modelling, Simulation, Energy conservation
Twitter: rajkmsaini
Location: New Delhi
Dr. Raj K. Saini's Projects
Deep reinforcement learning with OpenFOAM
Energy Research and Forecasting Model
Extra-P, automated performance modeling for HPC applications
Public release of fireFoam compiled against v1912 of ESI-OpenCFD OpenFOAM release
This repository contains the implementation of an OpenFOAM model for the case of fish passage. It uses interFoam to solve the free surface, and a Delayed Eddy Simulation treatment to solve the turbulence, using the kOmegaSSTDDES model.
Flip's Beamer Template (for presentations in LaTeX)
Flow Physics and Aeroacoustics Toolbox with Python
OpenFOAM extension module for fluid-rigid body coupling
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
A snapshot of the novel OpenFOAM I/O format "coherent", which is implemented in a reduced version of foam-extend 4.1.
FSI simulations using OpenFOAM
Conservative Overset Algorithms with OpenFOAM
A simple demo repository to show the basic Git workflow
Repository for our CVPR 2021 Global Flow Transport Paper
This project shows how to use the gradient of flow variables as a criteria to control Adaptive Mesh Refinement (AMR) for OpenFOAM simulations.
Header-only C++-Library to write computational grids into standard file formats
Source code for the ICLR'22 paper on "Half-Inverse Gradients"
OpenFOAM solver for performing single- and two-phase flow simulations on hybrid-scale deformable porous media.
OpenFOAM solver for performing single- and two-phase flow simulations on hybrid-scale porous media.
Reduced order modelling techniques for OpenFOAM
LaTeX graphics with TikZ, by Packt Publishing
pix2tex: Using a ViT to convert images of equations into LaTeX code.
LSiM is a learned metric to compute distance values for 2D data from numerical simulations
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
mantaflow is an open-source framework targeted at fluid simulation research in Computer Graphics and Machine Learning.
Computational fluid dynamics code for simulation of turbulent flows in the atmospheric boundary layer