Computational models are crucial because they offer a detailed understanding of catalytic mechanisms that are often challenging to observe experimentally. They can help identify the active sites on catalysts, predict the energy barriers of reaction steps, and suggest modifications to improve catalytic efficiency. Furthermore, these models can significantly reduce the time and cost associated with experimental trials.
