Understanding model complexity is crucial for several reasons. Firstly, it allows researchers to capture the essential features of catalytic processes, which can lead to more efficient catalyst design and optimization. Secondly, complex models can provide insights into reaction mechanisms and intermediate states that simpler models might overlook. Lastly, understanding the trade-offs between model simplicity and accuracy is key to making informed decisions in research and industrial applications.
