Abstract
In this work, a computer-aided screening strategy combined with density functional theory (DFT) was employed to screen and identify high-performance Pt-based dual-atom catalysts PtM-L6@Gra (M = 3d, 4d, 5d; L = N, C, B) for oxygen reduction reactions (ORRs). Comprehensive studies demonstrated that six representative electrocatalysts (i.e., PtCo-C6@Gra, PtNi-C6@Gra, PtZn-C6@Gra, PtFe-N6@Gra, PtCo-N6@Gra, PtNi-N6@Gra) showed high ORR catalytic activities under both acidic and basic conditions, with favorable overpotentials (among them, PtZn-C6@Gra was the best candidate with the lowest ηORR of 0.49 V). The ORR followed a 4-electron mechanism with the final products H2O/OH−. PtFe-, PtCo-, and PtNi-N6@Gra and PtCo-, PtNi-, and PtZn-C6@Gra demonstrated superior activities with low ηORR due to their moderate adsorption strength of *OH. More importantly, intrinsic physical quantities were used to construct various effective descriptors (such as (d*(Pt–M) + χM) × ΔG*→*O2, (d*(Pt–M) + χM) × ΔG*OH→*+OH−, (avg[da(Pt–M)] + χM) × ΔG*→*O2 and (avg[da(Pt–M)] + χM) × ΔG*OH→*+OH−) for rapid screening and identification of promising electrocatalysts, unveiling the mechanism, and establishing the structure–activity relationship. The present study provides an important route for developing efficient low-Pt catalysts for ORR and will inspire subsequent experimental and theoretical work in this direction.
- This article is part of the themed collection: Journal of Materials Chemistry A HOT Papers