Computational modelling has become an indispensable tool in catalyst design. Techniques such as density functional theory (DFT) allow researchers to simulate reactions at the atomic level, providing insights that are difficult to obtain experimentally. These models can predict how changes in the catalyst's composition and structure will affect its performance, guiding experimental efforts and reducing the time and cost associated with catalyst development.
