Computational modeling is crucial because it provides insights that are often difficult or impossible to obtain through experimental methods alone. It allows for the exploration of atomic and molecular interactions at a detailed level, thereby offering a deeper understanding of how catalysts work. Moreover, it can significantly reduce the time and cost associated with catalyst development by enabling virtual screening of numerous candidate materials.
