Understanding the spin effects of single-atom alloys on the electrocatalytic nitrogen reduction reaction

DFT-calculated adsorption energies and features of single-atom alloys are used for machine learning. Spin-dependent features identified by machine learning are rationalized by fundamental chemical principles and used to understand spin effects.