The integration of AI with catalysis involves employing machine learning algorithms and data-driven techniques to optimize catalysts and catalytic processes. This can be achieved through several approaches:
Machine Learning algorithms can predict the performance of different catalysts. Data analytics can identify patterns and trends in catalytic reactions. AI-driven simulations can model complex catalytic systems.
