Rosseinsky employs a combination of computational modeling and experimental techniques to design new materials. By integrating high-throughput screening methods with machine learning algorithms, his team can predict and synthesize new catalytic materials more efficiently. This interdisciplinary approach accelerates the discovery process, making it possible to explore a larger chemical space than traditional methods.
