Reinhard’s research addresses a key challenge in materials science: the targeted discovery of new materials with tailored properties—for applications such as catalysis, battery technologies, or fuel cells. His focus lies on atomic-scale processes at material surfaces and interfaces, where many of these technologies’ core functions originate.

His approach combines high-precision quantum mechanical simulations with cutting-edge AI algorithms. Together with his team, he aims to accelerate the discovery and design of novel materials through predictive modelling—moving beyond trial and error.

We are delighted to welcome Reinhard to our group and look forward to many inspiring scientific and personal contributions!