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phy-prakash/README.md

Dr. Prakash G

Postdoctoral Researcher | Computational Materials Science

I am a computational materials researcher working at the intersection of first-principles simulations, atomistic modeling, and data-driven materials discovery.

My research focuses on understanding and designing functional materials using Density Functional Theory (DFT), ab initio molecular dynamics (AIMD), machine-learned force fields (MLFFs), phonon calculations, and high-throughput computational approaches.


🔬 Research Interests

  • 🧪 Computational Materials Science
  • Thermoelectric Materials
  • ☀️ Photovoltaic Materials
  • 🔋 Electrochemical storage
  • 🧬 Ion Diffusion & Finite-Temperature Properties
  • ⚛️ Electronic Structure & Chemical Bonding
  • 🤖 Machine-Learned Force Fields (MLFF)
  • 🌡️ Ab Initio Molecular Dynamics (AIMD)
  • 🔗 Electrocatalysis & Surface Chemistry

🧮 Computational Methods

DFT · VASP · AIMD · MLFF · QHA · Phonons · Electronic Structure · Boltzmann Transport

Scientific Computing

Python · pymatgen · ASE · VASPKIT · Phonopy · Phono3py · Linux · Git


📚 Research

My research involves computational investigation of functional materials with emphasis on:

Structure → Electronic Properties → Chemical Bonding → Transport → Thermal Effects → Materials Performance

I am particularly interested in combining first-principles calculations with machine-learning-based atomistic simulations to investigate materials behavior at realistic temperatures and large length/time scales.


📊 Google Scholar

Metric All Since 2021
Citations 136 135
h-index 8 8
i10-index 6 6

📚 Google Scholar Profile


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