A High-Throughput Screening toward Efficient Nitrogen Fixation: Transition Metal Single-Atom Catalysts Anchored on an Emerging π–π Conjugated Graphitic Carbon Nitride (g-C<sub>10</sub>N<sub>3</sub>) Substrate with Dirac Dispersion
Qiang Zhang, Xian Wang, Fuchun Zhang, Chunyao Fang, Di Liu, Qingjun Zhou
Abstract
TM-N x is becoming a comforting catalytic center for sustainable and green ammonia synthesis under ambient conditions, resulting in increasing interest in single-atom catalysts (SACs) for the electrochemical nitrogen reduction reaction (NRR). However, given the poor activity and unsatisfactory selectivity of existing catalysts, it remains a long-standing challenge to design efficient catalysts for nitrogen fixation. Currently, the two-dimensional (2D) graphitic carbon-nitride substrate provides abundant and evenly distributed holes for stably supporting transition-metal atoms, which presents a fascinating prospect for overcoming this challenge and promoting single-atom NRR. An emerging holey graphitic carbon-nitride skeleton with a C 10 N 3 stoichiometric ratio (g-C 10 N 3 ) from a supercell of graphene is constructed, which provides outstanding electric conductivity for achieving high-efficiency NRR due to the Dirac band dispersion. Herein, a high-throughput first-principles calculation is carried out to evaluate the feasibility of π–d conjugated SACs resulting from a single TM atom anchored on g-C 10 N 3 (TM = Sc–Au) for NRR. We find that W metal embedded in g-C 10 N 3 (W@g-C 10 N 3 ) can compromise the ability to adsorb the key target reaction species (N 2 H and NH 2 ), hence acquiring an optimal NRR behavior among 27 TM-candidates. Our calculations demonstrate that W@g-C 10 N 3 shows a well-suppressed HER ability and, impressively, a low energy cost of −0.46 V. Additionally, all-around descriptors are proposed to uncover the fundamental mechanism of NRR activity, among which a 3D volcano plot (limiting potential, screening strategy, and electron origin) uncovers the NRR activity trend, achieving a quick and high-efficiency prescreening for numerous candidates. Overall, the strategy of the structure- and activity-based TM-N x -containing unit design will offer useful insight for further theoretical and experimental attempts.