Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 170

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

Low-cost high-efficiency system for solar-driven conversion of CO 2 to hydrocarbons

Open access
Huan, Tran Ngoc, Dalla Corte, Daniel Alves, Lamaison, Sarah, Karapinar, Dilan, Lutz, Lukas, Menguy, Nicolas, Foldyna, Martin, Turren-Cruz, Silver-Hamill, Hagfeldt, Anders, Bella, Federico, Fontecave, Marc, Mougel, Victor·2019·Proceedings of the National Academy of Sciences

Abstract

Significance: Carbon dioxide electroreduction may constitute a key technology in coming years to valorize CO 2 as high value-added chemicals such as hydrocarbons and a way to store intermittent solar energy durably. Based on readily available technologies, systems combining a photovoltaic (PV) cell with an electrolyzer cell (EC) for CO 2 reduction to hydrocarbons are likely to constitute a key strategy for tackling this challenge. However, a low-cost, sustainable, and highly efficient PV–EC system has yet to be developed. In this article, we show that this goal can be reached using a low-cost and easily processable perovskite photovoltaic minimodule combined to an electrolyzer device using the same Cu-based catalysts at both electrodes and in which all energy losses have been minimized.

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 · 10.1073/pnas.1815412116

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 170

Metadata

Authors
Huan, T. N., Dalla Corte, D. A., Lamaison, S., Karapinar, D., Lutz, L., Menguy, N., Foldyna, M., Turren-Cruz, S.-H., Hagfeldt, A., Bella, F., Fontecave, M., & Mougel, V.
Venue
Proceedings of the National Academy of Sciences
Published
2019-03-27
Volume
116
Issue
20
Pages
9735-9740
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2924166759
Cited by
170
References
3
FWCI
5.62
Type
journal article
Language
en
Open access
bronze

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: Low-cost high-efficiency system for solar-driven conversion of CO 2 to hydrocarbons. https://app.cochat.ai/papers/10.1073/pnas.1815412116
The paper
Huan, T. N., Dalla Corte, D. A., Lamaison, S., Karapinar, D., Lutz, L., Menguy, N., Foldyna, M., Turren-Cruz, S.-H., Hagfeldt, A., Bella, F., Fontecave, M., & Mougel, V. (2019). Low-cost high-efficiency system for solar-driven conversion of CO 2 to hydrocarbons. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1815412116

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.