In the field of catalysis, neural networks can be employed to predict the activity, selectivity, and stability of catalysts. They can also help in the discovery of new catalysts by analyzing large datasets of experimental results and theoretical calculations. This accelerates the process of identifying promising catalytic materials and optimizes reaction conditions.
