サウ カーテイツク

I am a computational materials scientist dedicated to advancing sustainable energy technologies through the discovery and design of novel functional materials. My research integrates quantum mechanical calculations, molecular dynamics/Monte Carlo simulations, and data-driven machine learning approaches to understand structure-property relationships at the atomic scale. At WPI-AIMR, Tohoku University, I lead research projects focused on developing next-generation materials for energy storage, conversion, and efficiency applications. My work contributes to the fundamental understanding of material behavior while addressing critical challenges in renewable energy technologies.

Research areas include: Molecular Dynamics (MD) Simulation, Monte Carlo (MC) Simulation, Density Functional Theory (DFT), Machine Learning (ML) for Materials Screening, Fast Ion Conductors, Caloric Materials, Hydrogen Storage Materials, and Quantum Chemistry.