Computational modeling and machine learning algorithms are used to predict the behavior of catalysts under different conditions. This helps in understanding the mechanism of catalysis at a molecular level. Computational tools can simulate various reaction pathways and predict the most efficient one, thereby saving time and resources in experimental trials.
