How can machine learning enhance catalysis research?
Machine learning (ML) techniques can significantly enhance catalysis research by enabling the development of predictive models and the discovery of new catalytic materials. ML algorithms can analyze historical data to predict the performance of catalysts under various conditions. These models can guide experimental efforts, reducing the time and cost associated with trial-and-error approaches. Moreover, ML can aid in identifying novel materials by screening large chemical spaces for promising candidates.
