Machine Learning (ML) algorithms have revolutionized catalysis by providing powerful tools for data-driven discovery. ML algorithms can analyze vast datasets generated from experimental and computational studies to identify patterns and correlations that are not easily discernible by humans. These algorithms help in the rapid screening of catalysts, predicting reaction rates, and optimizing reaction conditions.
