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  • 👋 Hi, I’m @Ramakant Gadhewal
  • 👀 I’m interested in ...PEM Fuel Cell /Electrolyzer Modeling
  • 🌱 I’m currently learning ...OpenFOAM,ML
  • 💞️ I’m looking to collaborate on ...PEM Fuel Cell and Electrolyzer (AWE PEMWE)
  • 📫 How to reach me [email protected]

Ramakant Gadhewal's Projects

20-machine-learning-projects icon 20-machine-learning-projects

A great machine learning portfolio is a collection of industry-standard machine learning projects that can prove that a candidate has all the required machine learning skills.

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2D nanothermite pellet simulation code; used to obtain results in article "Modelling reaction propagation for Al/CuO nanothermite pellet combustion", Combustion and Flame, vol. 229, 2021.

2d_wall_general_mesh icon 2d_wall_general_mesh

Numerical calculus for 2D wall heat transfer. Conductivity constants may now vary with the temperature

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

6.s089-intro-to-quantum-computing icon 6.s089-intro-to-quantum-computing

Quantum computation is a growing field at the intersection of physics, computer science, electrical engineering, and applied math. This course provides an introduction to the basics of quantum computation. Specifically, we will cover some fundamental quantum mechanics, survey quantum circuits, and introduce the most significant quantum algorithms. Furthermore, we will survey advanced topics towards the end of the course. In the past, these topics have included quantum error correction, quantum communication, and applications to fields ranging from machine learning to chemistry. This course is self-contained and does not require any prior knowledge of quantum mechanics.

acm icon acm

Implementation of artifical compressiblity method in C. Thanks to Tanmay agrawal for his CFD lecture about this method (also took part of his code for visualisation in plt format). Also refer to "A numerical method for solving incompressible viscous flow problems" by chorin 1967 for futher explanation on Artificial Compressibility Method.

acnm icon acnm

Advanced Computational Numerical Methods course at UTFSM

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Code to go along the lecture course "Advanced Machine Learning for Physics, Science, and Artificial Scientific Discovery"

ae523-fall23 icon ae523-fall23

Code examples for the University of Michigan's AEROSP 523 CFD course

aeolus icon aeolus

Simple finite volume CFD solver

ai_airfoil_cfd icon ai_airfoil_cfd

This repository hold some techniques associated with Artificial Intelligence to examine the aerodynamics of airfoils

aphros icon aphros

Finite volume solver for incompressible multiphase flows with surface tension. Foaming flows in complex geometries.

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