Molecular informatics offers a suite of computational tools and data analysis techniques that can significantly enhance the study of catalytic processes. These tools allow researchers to model and simulate the behavior of catalysts at the atomic and molecular levels, predict reaction outcomes, and design new catalysts with improved efficiency and selectivity. This data-driven approach can lead to faster discovery and optimization of catalytic systems, reducing the time and cost associated with experimental trials.
