Computational modelling offers several advantages in the field of catalysis. It can significantly reduce the time and cost associated with experimental trials by providing reliable predictions of catalyst performance and reaction outcomes. Moreover, it allows for the exploration of reaction mechanisms at a level of detail that is often inaccessible through experimental techniques alone. This deeper understanding can lead to the development of more efficient and selective catalysts.
