Harald Oberhofer

PD Dr. Harald Oberhofer is Lecturer at the Chair of Theoretical Chemistry at University of Bayreuth. His research develops computational methods for materials discovery and characterization, with applications in energy technologies. Current projects focus on battery materials, organic electronics, catalytic interfaces, and machine learning approaches to materials design.

Methodological innovations include implicit solvation techniques, charge transport modeling, and multiscale simulation frameworks. Research bridges fundamental theory with applications in renewable energy storage and conversion systems.

Recent publications demonstrate advances in understanding battery electrolyte behavior, surface electron transfer mechanisms, and machine learning-guided materials optimization. Collaborative projects include experimental partnerships validating computational predictions of material properties.

Teaching activities include courses in theoretical physics, computational materials design, and molecular simulation methods. Research group focuses on developing predictive models for functional materials relevant to energy sustainability goals.