How Can Computational Methods Aid in Catalyst Design?
Computational methods, such as density functional theory (DFT) and molecular dynamics, play a pivotal role in understanding the fundamental properties of catalysts at the atomic level. These methods can predict how changes in the catalyst’s structure affect its performance, allowing researchers to design more efficient and selective catalysts before conducting expensive and time-consuming experiments.
