In catalysis, understanding the intricacies of catalytic reactions and the behavior of catalysts under various conditions is crucial. GMMs offer several advantages:
1. Data Clustering: GMMs can identify distinct clusters in the experimental data, helping to classify different catalytic behaviors or phases. 2. Reaction Mechanism Elucidation: By modeling reaction mechanisms as a mixture of Gaussian distributions, researchers can gain insights into multiple reaction pathways. 3. Parameter Estimation: GMMs can estimate the parameters of different catalytic processes, which is essential for optimization and control.
