Computational catalysis plays a pivotal role in advancing the fundamental understanding of catalytic processes. Techniques such as molecular dynamics (MD) simulations and quantum chemistry calculations help in visualizing and predicting the behavior of catalysts at the atomic level. These computational methods can identify potential catalysts, predict reaction pathways, and provide insights into the electronic properties of catalytic materials. By complementing experimental work, computational studies accelerate the discovery and optimization of new catalysts.
