Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 913

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Achieving a Record‐High Yield Rate of 120.9 for N2 Electrochemical Reduction over Ru Single‐Atom Catalysts

Geng, Zhigang, Liu, Yan, Kong, Xiangdong, Li, Pai, Li, Kan, Liu, Zhongyu, Du, Junjie, Shu, Miao, Si, Rui, Zeng, Jie·2018·Advanced Materials

Abstract

The electrochemical reduction of N 2 into NH 3 production under ambient conditions represents an attractive prospect for the fixation of N 2. However, this process suffers from low yield rate of NH 3 over reported electrocatalysts. In this work, a record‐high activity for N 2 electrochemical reduction over Ru single atoms distributed on nitrogen‐doped carbon (Ru SAs/N‐C) is reported. At −0.2 V versus reversible hydrogen electrode, Ru SAs/N‐C achieves a Faradaic efficiency of 29.6% for NH 3 production with partial current density of −0.13 mA cm−2. Notably, the yield rate of Ru SAs/N‐C reaches 120.9 , which is one order of magnitude higher than the highest value ever reported. This work not only develops a superior electrocatalyst for NH 3 production, but also provides a guideline for the rational design of highly active and robust single‐atom catalysts.

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.201803498

Cites

3 of 3 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 3 references

Cited by

See all 913

Metadata

Authors
Geng, Z., Liu, Y., Kong, X., Li, P., Li, K., Liu, Z., Du, J., Shu, M., Si, R., & Zeng, J.
Venue
Advanced Materials
Publisher
Wiley
Published
2018-08-10
Volume
30
Issue
40
Pages
e1803498-e1803498
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2887542968
Cited by
913
References
3
FWCI
29.55
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: Achieving a Record‐High Yield Rate of 120.9 for N2 Electrochemical Reduction over Ru Single‐Atom Catalysts. https://app.cochat.ai/papers/10.1002/adma.201803498
The paper
Geng, Z., Liu, Y., Kong, X., Li, P., Li, K., Liu, Z., Du, J., Shu, M., Si, R., & Zeng, J. (2018). Achieving a Record‐High Yield Rate of 120.9 for N2 Electrochemical Reduction over Ru Single‐Atom Catalysts. Advanced Materials. https://doi.org/10.1002/adma.201803498

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.