Computational catalysis plays a crucial role in understanding and designing new catalysts. Advanced computational methods, such as Density Functional Theory (DFT), allow scientists to predict the behavior of catalytic systems at the atomic level. This helps in identifying promising catalyst candidates and optimizing existing ones, thus accelerating the development of new catalytic processes.