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Rational Design of Single-Atom Catalysts for Enhanced Electrocatalytic Nitrogen Reduction Reaction

ORAL

Abstract

Electrocatalytic reduction of N2 to ammonia (eNRR) provides a sustainable alternative to an energy-intensive Haber−Bosch process. However, the poor activity and selectivity of the eNRR catalysts limit their large-scale applications. Recently, transition metals (TMs) doped graphitic carbon nitride-based single-atom catalysts (SACs) have emerged as a very promising class of catalysts. Inspired by their activity and selectivity for a range of reactions, using density functional theory we investigated TMs (3d, 4d, and 5d series) anchored on h C4N3 as possible catalysts for eNRR. We employed a search scheme for finding an efficient TM SAC for eNRR, based on its optimum N2 adsorption, N2 protonation feasibility, and selectivity against HER. The optimum bond strength of TM−N bond is characterized by a change in the magnetic moment of the metal upon N2 adsorption, and the charge transferred (△q) from TM to N2 molecule. We also established the number of valence electrons (group number) of the TM as a potential descriptor to determine the feasibility of N2 protonation, which ultimately decides the activity and selectivity of an eNRR catalyst. SACs with TMs belonging to the groups 5−7 are found to have the highest activity. Mo- and W-SACs emerge as the most suitable candidates after the third level of screening, which is based on the selectivity toward eNRR. The overpotentials for both Mo- and W-SACs are 0.02 and 0.33 V versus SHE, respectively. The thermodynamic analysis suggests that Mo-based SAC is the most active catalyst for eNRR with an ultralow overpotential and high faradaic efficiency for eNRR. Our analysis provides a rational design of a new class of highly efficient catalysts for the electrochemical NRR under ambient conditions.

Publication: J. Phys. Chem. C 2021, 125, 12585−12593

Presenters

  • Sakshi Agarwal

    Indian Institute of Science

Authors

  • Sakshi Agarwal

    Indian Institute of Science