Fundamental understanding of materials properties and processes e.g., by exploring and exploiting quantum mechanical processes at interfaces and in heterostructures for energy-relevant materials such as catalysts, magnets, superconductors or topological materials in real time.
Design of new high-performance materials starting from the atomic scale, based on materials exploration using high-throughput experimental and simulation methods. Hypotheses are derived from physical and chemical models combined with machine learning and optimized in an iterative, experimental-simulative design cycle.
Integration of the new materials into the development of future energy systems with a focus on sustainable materials and feasible processes: Development of scalable synthesis, coating, and patterning processes that bridge the gap between newly discovered materials and their industrial application in electrochemical and electrified processes.