Designing catalysts at the atomic level involves a combination of experimental and theoretical approaches. Researchers use techniques like X-ray absorption spectroscopy (XAS) and nuclear magnetic resonance (NMR) to probe the atomic structure of catalysts. Computational modeling helps in predicting how different atomic configurations will affect catalytic activity. This iterative process of design, testing, and optimization leads to the development of more effective catalysts.
