Several methods are employed to predict catalytic activity:
Experimental methods: Traditional kinetic experiments provide direct measurements of catalytic activity. Computational methods: Techniques such as DFT, molecular dynamics, and quantum mechanics are used to model and predict catalytic behavior. Machine learning: Data-driven approaches where algorithms learn from existing data to predict the activity of new catalysts.
