Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 436

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Reaction Mechanisms of Well‐Defined Metal–N4 Sites in Electrocatalytic CO2 Reduction

Zhang, Zheng, Xiao, Jianping, Chen, Xue‐Jiao, Yu, Song, Yu, Liang, Si, Rui, Wang, Yong, Wang, Suheng, Meng, Xianguang, Wang, Ye, Tian, Zhong‐Qun, Deng, Dehui·2018·Angewandte Chemie International Edition

Abstract

Electrocatalytic CO 2 reduction to CO emerges as a potential route of utilizing emitted CO 2. Metal‐N‐C hybrid structures have shown unique activities, however, the active centers and reaction mechanisms remain unclear because of the ambiguity in true atomic structures for the prepared catalysts. Herein, combining density‐functional theory calculations and experimental studies, the reaction mechanisms for well‐defined metal–N 4 sites were explored using metal phthalocyanines as model catalysts. The theoretical calculations reveal that cobalt phthalocyanine exhibits the optimum activity for CO 2 reduction to CO because of the moderate *CO binding energy at the Co site, which accommodates the *COOH formation and the *CO desorption. It is further confirmed by experimental studies, where cobalt phthalocyanine delivers the best performance, with a maximal CO Faradaic efficiency reaching 99 %, and maintains stable performance for over 60 hours.

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/anie.201808593

Cites

4 of 4 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 4 references

Cited by

See all 436

Metadata

Authors
Zhang, Z., Xiao, J., Chen, X., Yu, S., Yu, L., Si, R., Wang, Y., Wang, S., Meng, X., Wang, Y., Tian, Z., & Deng, D.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2018-11-11
Volume
57
Issue
50
Pages
16339-16342
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2895819610
Cited by
436
References
4
FWCI
10.75
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: Reaction Mechanisms of Well‐Defined Metal–N4 Sites in Electrocatalytic CO2 Reduction. https://app.cochat.ai/papers/10.1002/anie.201808593
The paper
Zhang, Z., Xiao, J., Chen, X., Yu, S., Yu, L., Si, R., Wang, Y., Wang, S., Meng, X., Wang, Y., Tian, Z., & Deng, D. (2018). Reaction Mechanisms of Well‐Defined Metal–N4 Sites in Electrocatalytic CO2 Reduction. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201808593

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.