In the field of Catalysis, GMMs are used to analyze and interpret complex datasets. These datasets could originate from various sources, such as spectroscopic measurements, reaction kinetics, or computational chemistry simulations. The ability of GMMs to identify clusters in multidimensional data makes them valuable for distinguishing between different catalytic states, reaction intermediates, or active sites.
