Jeslin Jebish G. P

Integration of density functional theory and machine learning for materials discovery in energy applications

The global transition toward clean and renewable energy systems demands the rapid identification of novel functional materials for hydrogen production, photocatalysis, CO₂ reduction, and electrochemical energy storage. Traditional experimental trial and error approaches, combined with computationally expensive standalo...