Machine learning-assisted design of dual-atom catalysts and the “convergence-selective transfer” charge regulation mechanism for the ORR

Machine learning and theory design yield FeZn@N 6 -G with record-low overpotential, revealing convergence-selective charge transfer, and R 2 = 0.99 descriptor.