The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Role of the Carbon-Based Gas Diffusion Layer on Flooding in a Gas Diffusion Electrode Cell for Electrochemical CO2 Reduction
Open accessAbstract
Abstract The deployment of gas diffusion electrodes (GDEs) for the electrochemical CO2 reduction reaction (CO2RR) has enabled current densities an order of magnitude greater than those of aqueous H cells. The gains in production, however, have come with stability challenges due to rapid flooding of GDEs, which frustrate both laboratory experiments and scale-up prospects. Here, we investigate the role of carbon gas diffusion layers (GDLs) in the advent of flooding during CO2RR, finding that applied potential plays a central role in the observed instabilities. Electrochemical characterization of carbon GDLs with and without catalysts suggests that the high overpotential required during electrochemical CO2RR initiates hydrogen evolution on the carbon GDL support. These potentials impact the wetting characteristics of the hydrophobic GDL, resulting in flooding that is independent of CO2RR. Findings from this work can be extended to any electrochemical reduction reaction using carbon-based GDEs (CORR or N2RR) with cathodic overpotentials of less than −0.65 V versus a reversible hydrogen electrode.
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.
Integrity signals
Registry
Cites
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.
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
CO 2 electroreduction to ethylene via hydroxide-mediated copper catalysis at an abrupt interface
Dinh, C.-T., Burdyny, T., Kibria, M. G., Seifitokaldani, A., Gabardo, C. M., García de Arquer, F. P., Kiani, A., Edwards, J. P., De Luna, P., Bushuyev, O. S., et al. (2018) · Science · doi:10.1126/science.aas9100 · Cited by 2,515
Self-citationWork function, electronegativity, and electrochemical behaviour of metals
Trasatti, S. (1972) · Journal of Electroanalytical Chemistry and Interfacial Electrochemistry · doi:10.1016/s0022-0728(72)80485-6 · Cited by 2,024
Electrochemical CO2 Reduction on Metal Electrodes
Hori, Y. (2008) · Modern Aspects of Electrochemistry · doi:10.1007/978-0-387-49489-0_3 · Cited by 1,868
Aqueous CO2 Reduction at Very Low Overpotential on Oxide-Derived Au Nanoparticles
Chen, Y., Li, C. W., & Kanan, M. W. (2012) · Journal of the American Chemical Society · doi:10.1021/ja309317u · Cited by 1,664
CO 2 electrolysis to multicarbon products at activities greater than 1 A cm −2
García de Arquer, F. P., Dinh, C.-T., Ozden, A., Wicks, J., McCallum, C., Kirmani, A. R., Nam, D.-H., Gabardo, C., Seifitokaldani, A., Wang, X., et al. (2020) · Science · doi:10.1126/science.aay4217 · Cited by 1,517
Burdyny, T., & Smith, W. A. (2019) · Energy & Environmental Science · doi:10.1039/c8ee03134g · Cited by 1,133
Self-citationA Gross‐Margin Model for Defining Technoeconomic Benchmarks in the Electroreduction of CO2
Verma, S., Kim, B., Jhong, H. “., Ma, S., & Kenis, P. J. A. (2016) · ChemSusChem · doi:10.1002/cssc.201600394 · Cited by 655
High-rate electroreduction of carbon monoxide to multi-carbon products
Jouny, M., Luc, W., & Jiao, F. (2018) · Nature Catalysis · doi:10.1038/s41929-018-0133-2 · Cited by 617
Gabardo, C. M., O’Brien, C. P., Edwards, J. P., McCallum, C., Xu, Y., Dinh, C.-T., Li, J., Sargent, E. H., & Sinton, D. (2019) · Joule · doi:10.1016/j.joule.2019.07.021 · Cited by 611
De Gregorio, G. L., Burdyny, T., Loiudice, A., Iyengar, P., Smith, W. A., & Buonsanti, R. (2020) · ACS Catalysis · doi:10.1021/acscatal.0c00297 · Cited by 582
Self-citation
Cited by
Advanced manufacturing for electrosynthesis of fuels and chemicals from CO 2
Corral, D., Feaster, J. T., Sobhani, S., DeOtte, J. R., Lee, D. U., Wong, A. A., Hamilton, J., Beck, V. A., Sarkar, A., Hahn, C., et al. (2021) · Energy & Environmental Science · doi:10.1039/d0ee03679j · Cited by 98
Metadata
- Authors
- Yang, K., Kas, R., Smith, W. A., & Burdyny, T.
- Venue
- ACS Energy Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-11-25
- Volume
- 6
- Issue
- 1
- Pages
- 33-40
- ISSN
- 2380-8195 (ISSN-L)
- OpenAlex
- W3106880887
- Cited by
- 474
- References
- 37
- FWCI
- 9.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Role of the Carbon-Based Gas Diffusion Layer on Flooding in a Gas Diffusion Electrode Cell for Electrochemical CO2 Reduction. https://app.cochat.ai/papers/10.1021/acsenergylett.0c02184
- The paper
- Yang, K., Kas, R., Smith, W. A., & Burdyny, T. (2021). Role of the Carbon-Based Gas Diffusion Layer on Flooding in a Gas Diffusion Electrode Cell for Electrochemical CO2 Reduction. ACS Energy Letters. https://doi.org/10.1021/acsenergylett.0c02184
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.