Computational data in the context of catalysis refers to the use of computer-based methods and models to understand, predict, and design catalytic processes. This encompasses a broad range of techniques, from quantum mechanical calculations to molecular dynamics and machine learning, aimed at elucidating the mechanisms and optimizing the performance of catalysts.
