Studying catalysis networks involves a combination of experimental techniques and computational modeling. Techniques such as spectroscopy, chromatography, and microscopy can provide real-time data on the intermediates and products formed during a reaction. Computational methods, such as density functional theory (DFT) and molecular dynamics (MD) simulations, can be used to model the reaction pathways and predict the behavior of various components within the network.
