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.
- 🧪 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
DFT · VASP · AIMD · MLFF · QHA · Phonons · Electronic Structure · Boltzmann Transport
Python · pymatgen · ASE · VASPKIT · Phonopy · Phono3py · Linux · Git
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.
| Metric | All | Since 2021 |
|---|---|---|
| Citations | 136 | 135 |
| h-index | 8 | 8 |
| i10-index | 6 | 6 |