How is Experimental Data Integrated with Theoretical Models?
Integration of experimental data with theoretical models is crucial for predictive catalysis. Models such as Density Functional Theory (DFT) provide atomic-level insights into catalytic processes. Experimental data is used to validate these models and to refine parameters for better accuracy. This iterative process helps in developing a more comprehensive understanding of catalytic systems.