Yogeshwaran Krishnan

I'm  a researcher specializing in atomistic modeling for energy materials. My research interests include molecular dynamics (MD), density functional theory (DFT), ab initio molecular dynamics (AIMD), and machine learning. With a background in physics and materials science, I have experience with these techniques and their applications in energy materials and chemistry. My work focuses on catalysis, chemical dynamics, and gas storage.

Postdoctoral Researcher at DTU specializing in atomistic modeling and ML for energy materials. PhD in Materials Science (UCD). Expertise in MD, DFT, AIMD applied to catalysis, chemical dynamics, and gas storage.

PhD in Computational Materials Science from UCD, Ireland.