Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 758

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Molybdenum Carbide Nanodots Enable Efficient Electrocatalytic Nitrogen Fixation under Ambient Conditions

Cheng, Hui, Ding, Liang‐Xin, Chen, Gao‐Feng, Zhang, Lili, Xue, Jian, Wang, Haihui·2018·Advanced Materials

Abstract

Electrocatalytic nitrogen fixation is considered a promising approach to achieve NH 3 production. However, due to the chemical inertness of nitrogen, it is necessary to develop efficient catalysts to facilitate the process of nitrogen reduction. Here, molybdenum carbide nanodots embedded in ultrathin carbon nanosheets (Mo 2 C/C) are developed to serve as a catalyst candidate for highly efficient and robust N 2 fixation through an electrocatalytic nitrogen reduction reaction (NRR). The as‐synthesized Mo 2 C/C nanosheets show excellent catalytic performance with a high NH 3 yield rate (11.3 µg h−1 mg−1 Mo2C) and Faradic efficiency (7.8%) for NRR under ambient conditions. More importantly, the isotopic experiments using 15 N 2 as a nitrogen source confirm that the synthesized ammonia is derived from the direct supply of nitrogen. This result also demonstrates the possibility of high‐efficiency nitrogen reduction even though accompanied with vigorous hydrogen evolution.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adma.201803694

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 2 references

Cited by

See all 758

Metadata

Authors
Cheng, H., Ding, L., Chen, G., Zhang, L., Xue, J., & Wang, H.
Venue
Advanced Materials
Publisher
Wiley
Published
2018-10
Volume
30
Issue
46
Pages
e1803694-e1803694
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2894805156
Cited by
758
References
2
FWCI
25.34
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: Molybdenum Carbide Nanodots Enable Efficient Electrocatalytic Nitrogen Fixation under Ambient Conditions. https://app.cochat.ai/papers/10.1002/adma.201803694
The paper
Cheng, H., Ding, L., Chen, G., Zhang, L., Xue, J., & Wang, H. (2018). Molybdenum Carbide Nanodots Enable Efficient Electrocatalytic Nitrogen Fixation under Ambient Conditions. Advanced Materials. https://doi.org/10.1002/adma.201803694

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.