Predictive Design of Single-Atom Catalysts for Ethane Dehydrogenation: A DFT-ML-Experimental Approach to Optimize Metal Identity and Its Coordination Environment
The rational design of high-performance single-atom catalysts (SACs) requires precise optimizing of both the metal identity and its local coordination environments. In this study, a combined DFT, machine learning (ML), and experiment approach is employed to systematically screen ethane direct dehydrogenation (EDH) pe...