Abstract
Efficient electrochemical nitrogen reduction reaction (NRR) under mild conditions is highly desired for achieving cost-effective application but is challenging to realize in practice. Previous studies have shown that atomically dispersed Mo on a graphene-like two-dimensional (2D) support can be a promising catalyst for NRR. Here, we show the outstanding electrocatalytic performance of a Mo-based atomically dispersed metal catalyst (ADMC) on a N-doped defective graphene support (Mox-N6-gra (x = 1–3)) by using density functional theory computations. Particular attention is paid to the underlying reaction mechanism for NRR. The computed formation energy and ab initio molecular dynamics simulation suggest that the N atoms doped on the graphene support can firmly anchor the Mo atoms in both Mo1-N6-gra and Mo2-N6-gra configurations, which are highly beneficial for NRR. In particular, Mo1-N6-gra exhibits high catalytic activity toward NRR via the distal mechanism with a limiting potential of −0.23 V, even higher than that of many ADMCs with a graphene-like support. Importantly, Mo1-N6-gra enables effective suppression of the competing hydrogen evolution reaction (HER). Additionally, Mo2-N6-gra is another high-performance ADMC for NRR with a limiting potential of −0.35 V and different catalytic mechanisms (i.e., the split-alternating and split-mixed mechanism). This computational study suggests two highly efficient ADMCs for N2 fixation, notably more efficient than previously reported ADMCs, and provides a design strategy for seeking a more optimal ADMC/support combination.
© 2025 American Chemical Society
© 2025 American Chemical Society
| Original language | English |
|---|---|
| Pages (from-to) | 11632-11640 |
| Number of pages | 9 |
| Journal | Journal of Physical Chemistry Letters |
| Volume | 16 |
| Issue number | 45 |
| Online published | 31 Oct 2025 |
| DOIs | |
| Publication status | Published - 13 Nov 2025 |
Funding
W.Z. acknowledges the support by the National Natural Science Foundation of China (22208126) and the Scientific Research Startup Foundation of Jiangsu University (2021JDG025). X.L. and X.C.Z. acknowledge the support by the Guangdong Basic and Applied Basic Research Foundation (2023A1515110920 and 2024A1515012307) and the Sichuan Science and Technology Program (2024NSFSC1141).