Machine learning and artificial intelligence are revolutionizing the field of catalysis by enabling the analysis of vast datasets to uncover patterns and correlations that might be missed by traditional methods. Algorithms can be trained on experimental data to predict the outcomes of new reactions, optimize reaction conditions, and even suggest novel catalyst designs. This data-driven approach accelerates the discovery and development of efficient catalytic systems.
