Ramakant Gadhewal's repositories
Computational-Physics-2023-Exercises
C Exercises of Computational Physics in Uni Oldenburg 2023
5_CFD
MSc in CFD
AE523-Fall23
Code examples for the University of Michigan's AEROSP 523 CFD course
boilingFoam-PUBLIC
OpenFOAM-based solvers, libraries, and test cases for simulating boiling flows.
CFD-Fundamental
Implementation of the 12 steps approach to the Navier-Stokes equations, essential for simulating fluid dynamics.
Comp_Phys_Mark_Newman
Solutions to exercises from Computational Physics by Mark Newman
Computational-Physics-PH354-Jan-2023-IISC
This contains all the coding that was done for the graduate level course Computational Physics from IISc during Jan 2023 semester. All codes are written in python
CP_2019
My solutions to the computational physics assignments at the TU-Dresden.
electrochemical_book_newwmann
Equations from the "Electrochemical Systems. Fourth Edition" by John Newmann and Nitash P. Balsara
GlennOPT
Single and multi-objective optimization for computational simulations
High-School-Computational-Physics-Workshop
Short course designed to introduce advanced senior high school students to computational physics. Interactive programming exercises comprise the bulk of the material.
Lab_Computational_Physics
Solved assignments for an introductory course on computational scientific algoritms
MDMTN
Source code for the paper titled "Multi-Objective Optimization for Sparse Deep Neural Network Training"
ME696HW1
ME 696 Computational Transport Phenomena HW 1 - Heat Conduction
MTO_Top_OpenFOAM10
Multi-physical field topology optimization program for openfoam10
Multi-Objective-Optimization-and-Machine-learning
Free-Form Grid Structure Multi-Objective Optimization Associated with Integrated Design and Machine Learning
neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Optimisation-Python
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
PEREGRINE
3D Multiblock multiphysics finite volume reacting flow solver. Implemented in Python, Kokkos, and MPI for inter- and intra-node performant parallelism.
PhasicFlowPlus
Fluid-particle coupling for multiphase flow based on PhasicFlow and OpenFOAM
pinns_tutorial
Tutorials for Physics-Informed Neural Networks
porus-fluid
Network Model of Two Phase Flow in Porous Media
py-cfd
A CFD practice repository
SandiaD-LTS-Bayesian-Optimization
Bayesian optimization of Sandia's FlameD OpenFOAM case
topology-optimization
Multi-material topology optimization code