Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 327

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Rare Earth Single-Atom Catalysts for Nitrogen and Carbon Dioxide Reduction

Liu, Jieyuan, Kong, Xue, Zheng, Lirong, Guo, Xu, Liu, Xiaofang, Shui, Jianglan·2020·ACS Nano

Abstract

Single-atom catalysts (SACs) have attracted much attention owning to their high catalytic properties. Herein, yttrium and scandium rare earth SACs are successfully synthesized on a carbon support (Y 1 /NC and Sc 1 /NC). Different from the well-known M–N 4 structure of M–N–C (M = Fe, Co) catalysts, Sc and Y atoms with a large atomic radius tend to be anchored to the large-sized carbon defects through six coordination bonds of nitrogen and carbon. Although Y- and Sc-based nanomaterials are generally inactive to room-temperature electrochemical reactions, Y 1 /NC and Sc 1 /NC SACs exhibit catalytic activities to nitrogen reduction reaction and carbon dioxide reduction reaction due to the modulation of the local electronic structure of Y/Sc single atoms by N and C coordination. The catalytic functions of rare earth single atoms not only demonstrate the magical effect of SACs but also promote the application of rare earth catalysts in room-temperature electrochemical reactions.

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 · 10.1021/acsnano.9b08835

Cites

1 of 1 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 1 references

Cited by

See all 327

Metadata

Authors
Liu, J., Kong, X., Zheng, L., Guo, X., Liu, X., & Shui, J.
Venue
ACS Nano
Published
2020-01-14
Volume
14
Issue
1
Pages
1093-1101
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W3000476018
Cited by
327
References
1
FWCI
9.59
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: Rare Earth Single-Atom Catalysts for Nitrogen and Carbon Dioxide Reduction. https://app.cochat.ai/papers/10.1021/acsnano.9b08835
The paper
Liu, J., Kong, X., Zheng, L., Guo, X., Liu, X., & Shui, J. (2020). Rare Earth Single-Atom Catalysts for Nitrogen and Carbon Dioxide Reduction. ACS Nano. https://doi.org/10.1021/acsnano.9b08835

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.