With the increase in energy demand and worldwide natural environment crises, it is imperative to develop green and sustainable energy systems to produce clean fuels and chemicals, which can replace fossil fuels and reduce carbon dioxide emissions. [1][2][3] A promising strategy is to develop advanced electrochemical technologies that can convert some common molecules (e.g., water, carbon dioxide, and nitrogen) into high-value chemical products (e.g., hydrogen, hydrocarbons, oxygenates, ammonia, and carbonates). [4][5][6][7] The important energy-related electrocatalytic reactions, including hydrogen evolution reaction (HER), oxygen evolution reaction (OER), oxygen reduction reaction (ORR), nitrogen reduction reaction (NRR), carbon dioxide reduction reaction (CO 2 RR), are the key conversion routes. In the complex processes for the electrocatalytic reactions, an efficient, highly selective, and stable electrocatalyst plays a pivotal role in speeding up the reaction kinetics and decreasing the overpotential, [5,8,9] which can enhance the sustainable energy conversion efficiency. Over the past few decades, tremendous progresses have been made in the establishment of electrocatalysts preparation and fundamental catalytic mechanisms. [6,7,[9][10][11][12][13][14][15][16][17][18] Nevertheless, those breakthroughs still stay at the stage of experimental synthesis and lack of indepth understanding of fundamental principles of the active site on the catalyst surface and catalytic reactions mechanisms, which seriously limits the development of efficient catalysts. Researchers are full of enthusiasm about preparation of advanced catalysts with ideal properties, expecting to establish the composition-structure-function relationships. Density functional theory (DFT) calculations are based on quantum mechanics, which can calculate the electronic structure of the whole catalytic system. It is probably the most powerful computational approach to investigate the structure-activity relationships of electrocatalysts at atomic level. With the rapid advances of computer technology, DFT calculations have created tremendous opportunities in shedding light on the electrocatalytic mechanisms and predicting promising catalysts. [19,20] Identification of the active sites and understanding of the reaction mechanisms are the two key aspects for the study of electrocatalytic reactions. [21] For the former, the experimental approach for identifying active sites is indirect by prepared specified catalysts and establishing definite correlations between catalytic performances and controllable factors. [22,23] Actually, many intermediate states of electrocatalytic