Computational techniques have become invaluable tools in predicting catalytic reaction outcomes. Methods such as Density Functional Theory (DFT) and Molecular Dynamics (MD) simulations allow researchers to model and understand the interactions at a molecular level. These computational approaches can screen for potential catalysts, predict reaction intermediates, and calculate activation energies, providing insights that guide experimental efforts.
