Projects

A perspective on Quantum Materials For Mechanical Engineers

The field of quantum materials captivates scientists with its seemingly endless possibilities. By studying matter at nature's most fundamental level, researchers unlock extraordinary phenomena—superconductivity, Mott transitions, topological insulators, spin liquids, and other exotic properties. Yet these emergent behaviors remain largely unexplored by mechanical engineers. As someone trained in mechanical engineering, I recognized an opportunity to bridge this gap by framing quantum materials through concepts and examples more familiar to my discipline. This perspective aims to provide mechanical engineers with a concise yet thorough introduction to the field.

Github Resources

I have been doing some small projects through out the year which i have added to GitHub. It can be broadly classified as:

General Mechanics codes (including Mathematica, Python, C++)
Quantum Mechanics Solver Code.
I contributed to the development of the Locally Self-Consistent Multiple Scattering (LSMS) code, a Kohn-Sham DFT solver written in Fortran and optimized for supercomputing architectures. Within this framework, I implemented the Recursive Projection Method as an advanced mixing scheme to accelerate convergence in non-linear self-consistent field calculations.
Graph dependency projects.
Kaggle - Machine Learning Competition.
This is a place to store my Kaggle Machine Learning competition projects.
General Machine Learning Projects.
This includes Agentic and Machine Learning Projects together.

Page updated

Google Sites

Report abuse