Data modeling in catalysis involves the creation of mathematical representations to describe and predict the behavior of catalytic reactions. These models are built using experimental data, theoretical principles, and computational methods. The primary goal is to identify key parameters that affect catalytic performance and to use these insights to optimize reaction conditions and catalyst materials.
