Prof. Dr. Harald Oberhofer graduated in physics from the University of Vienna, where - after completing an additional master's degree in the simulation of various materials at ENS Lyon - he also obtained his PhD in computational physics in 2008. During his doctoral thesis, he discovered his interest in transport processes and was able to gain valuable experience in the field during a post-doctoral stay at the University of Cambridge, UK. Oberhofer then moved to the Technical University of Munich, first with a Humboldt Research Fellowship and later as a post-doctoral researcher and group leader at the Theoretical Chemistry research group. In 2017, he habilitated and also received two prizes, the Ernst Haage Prize for Chemical Energy Conversion and the Hans Fischer Memorial Prize for his research work.
These both focus on the computer- and data-based investigation of transport processes of charge carriers in a wide range of materials, from battery materials and photo-electrocatalysts to (metal-) organic semiconductors. The process is always based on building a fundamental physical understanding of microscopic processes using ab-initio simulations. The data generated are then analysed using statistical methods, so-called data-mining, and machine learning to extract general design criteria for the materials under consideration. This approach allows investigation of experimental data as well as supporting the experimental design of materials, which is very promising for high-performance battery research in interdisciplinary collaborations at the Bavarian Centre for Battery Technology (BayBatt).