The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Single Mo Atom Supported on Defective Boron Nitride Monolayer as an Efficient Electrocatalyst for Nitrogen Fixation: A Computational Study
Abstract
The production of ammonia (NH 3 ) from molecular dinitrogen (N 2 ) under mild conditions is one of the most attractive and challenging processes in chemistry. Here by means of density functional theory (DFT) computations, we systematically investigated the potential of single transition metal atoms (Sc to Zn, Mo, Ru, Rh, Pd, and Ag) supported on the experimentally available defective boron nitride (TM–BN) monolayer with a boron monovacancy as a N 2 fixation electrocatalyst. Our computations revealed that the single Mo atom supported by a defective BN nanosheet exhibits the highest catalytic activity for N 2 fixation at room temperature through an enzymatic mechanism with a quite low overpotential of 0.19 V. The high spin-polarization, selective stabilization of N 2 H* species, or destabilizing NH 2 * species are responsible for the high activity of the Mo-embedded BN nanosheet for N 2 fixation. This finding opens a new avenue of NH 3 production by single-atom electrocatalysts under ambient conditions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Generalized Gradient Approximation Made Simple
Perdew, J. P., Burke, K., & Ernzerhof, M. (1996) · Physical Review Letters · doi:10.1103/physrevlett.77.3865 · Cited by 215,824
Origin of the Overpotential for Oxygen Reduction at a Fuel-Cell Cathode
Nørskov, J. K., Rossmeisl, J., Logadottir, A., Lindqvist, L., Kitchin, J. R., Bligaard, T., & Jónsson, H. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp047349j · Cited by 13,153
How copper catalyzes the electroreduction of carbon dioxide into hydrocarbon fuels
Peterson, A. A., Abild-Pedersen, F., Studt, F., Rossmeisl, J., & Nørskov, J. K. (2010) · Energy & Environmental Science · doi:10.1039/c0ee00071j · Cited by 3,784
Montoya, J. H., Tsai, C., Vojvodic, A., & Nørskov, J. K. (2015) · ChemSusChem · doi:10.1002/cssc.201500322 · Cited by 1,384
Catalysis by Supported Single Metal Atoms
Liu, J. (2017) · ACS Catalysis · doi:10.1021/acscatal.6b01534 · Cited by 1,331
Liu, P., & Rodriguez, J. A. (2005) · Journal of the American Chemical Society · doi:10.1021/ja0540019 · Cited by 1,240
Review of electrochemical ammonia production technologies and materials
Giddey, S., Badwal, S. P. S., & Kulkarni, A. (2013) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2013.09.054 · Cited by 886
Back, S., Lim, J., Kim, N.-Y., Kim, Y.-H., & Jung, Y. (2017) · Chemical Science · doi:10.1039/c6sc03911a · Cited by 542
Cited by
A Review of Electrocatalytic Reduction of Dinitrogen to Ammonia under Ambient Conditions
Cui, X., Tang, C., & Zhang, Q. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201800369 · Cited by 1,314
Enhancing Electrocatalytic Water Splitting by Strain Engineering
You, B., Tang, M. T., Tsai, C., Abild‐Pedersen, F., Zheng, X., & Li, H. (2019) · Advanced Materials · doi:10.1002/adma.201807001 · Cited by 793
Li, P., Wang, M., Duan, X., Zheng, L., Cheng, X., Zhang, Y., Kuang, Y., Li, Y., Ma, Q., Feng, Z., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09666-0 · Cited by 717
Defect engineering in earth-abundant electrocatalysts for CO2 and N2 reduction
Wang, Q., Lei, Y., Wang, D., & Li, Y. (2019) · Energy & Environmental Science · doi:10.1039/c8ee03781g · Cited by 574
Recent Advances in MOF‐Derived Single Atom Catalysts for Electrochemical Applications
Song, Z., Zhang, L., Doyle‐Davis, K., Fu, X., Luo, J., & Sun, X. (2020) · Advanced Energy Materials · doi:10.1002/aenm.202001561 · Cited by 412
Metadata
- Authors
- Zhao, J., & Chen, Z.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-08-30
- Volume
- 139
- Issue
- 36
- Pages
- 12480-12487
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2744886316
- Cited by
- 1,249
- References
- 8
- FWCI
- 36.60
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Single Mo Atom Supported on Defective Boron Nitride Monolayer as an Efficient Electrocatalyst for Nitrogen Fixation: A Computational Study. https://app.cochat.ai/papers/10.1021/jacs.7b05213
- The paper
- Zhao, J., & Chen, Z. (2017). Single Mo Atom Supported on Defective Boron Nitride Monolayer as an Efficient Electrocatalyst for Nitrogen Fixation: A Computational Study. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.7b05213
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.