Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 2,175

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Catalysts and Reaction Pathways for the Electrochemical Reduction of Carbon Dioxide

Kortlever, Ruud, Shen, Jing, Schouten, Klaas Jan P., Calle-Vallejo, Federico, Koper, Marc T. M.·2015·The Journal of Physical Chemistry Letters

Abstract

The electrochemical reduction of CO2 has gained significant interest recently as it has the potential to trigger a sustainable solar-fuel-based economy. In this Perspective, we highlight several heterogeneous and molecular electrocatalysts for the reduction of CO2 and discuss the reaction pathways through which they form various products. Among those, copper is a unique catalyst as it yields hydrocarbon products, mostly methane, ethylene, and ethanol, with acceptable efficiencies. As a result, substantial effort has been invested to determine the special catalytic properties of copper and to elucidate the mechanism through which hydrocarbons are formed. These mechanistic insights, together with mechanistic insights of CO2 reduction on other metals and molecular complexes, can provide crucial guidelines for the design of future catalyst materials able to efficiently and selectively reduce CO2 to useful products.

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/acs.jpclett.5b01559

Cites

18 of 18 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 18 references

Cited by

See all 2,175

Metadata

Authors
Kortlever, R., Shen, J., Schouten, K. J. P., Calle-Vallejo, F., & Koper, M. T. M.
Venue
The Journal of Physical Chemistry Letters
Published
2015-09-30
Volume
6
Issue
20
Pages
4073-4082
ISSN
1948-7185 (ISSN-L)
OpenAlex
W2225958871
Cited by
2,175
References
18
FWCI
34.21
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: Catalysts and Reaction Pathways for the Electrochemical Reduction of Carbon Dioxide. https://app.cochat.ai/papers/10.1021/acs.jpclett.5b01559
The paper
Kortlever, R., Shen, J., Schouten, K. J. P., Calle-Vallejo, F., & Koper, M. T. M. (2015). Catalysts and Reaction Pathways for the Electrochemical Reduction of Carbon Dioxide. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/acs.jpclett.5b01559

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.