One of the most challenging aspects of catalysis is understanding the underlying reaction mechanisms. AI and ML can assist by analyzing experimental and computational data to propose plausible mechanisms. For example, neural networks can be trained to predict reaction pathways and intermediates, providing insights that are often difficult to obtain through traditional approaches.