How is data-driven discovery transforming catalysis?
Data-driven discovery is revolutionizing the field of catalysis by accelerating the identification of efficient and sustainable catalysts. By leveraging machine learning and big data analytics, researchers can quickly screen vast chemical spaces and identify promising catalytic materials that might have been overlooked using conventional methods. This approach not only speeds up the discovery process but also opens up new avenues for developing catalysts with desired properties, such as increased activity, selectivity, and stability.
