Research

Our group investigates materials for catalysts, batteries, and electronics using advanced computational chemistry methods. We employ first-principles calculations (DFT), molecular simulations (MD, MC), machine learning techniques (MLIPs, ML-based property prediction) and physics informed techniques (CE) to gain molecular-level insights into material behavior and chemical processes. Our research is driven by applications in the sustainable transformation of energy and resources.