Machine learning (ML) in catalysis involves using algorithms and statistical models to analyze and predict the behavior of catalytic processes. It leverages large datasets and computational power to identify patterns and optimize catalytic reactions, making the discovery and development of new catalysts more efficient and cost-effective.
