The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
CO2Electrolysis to CO and O2at High Selectivity, Stability and Efficiency Using Sustainion Membranes
Open accessAbstract
Carbon dioxide (CO 2 ) electrolysis provides a pathway to close the anthropogenic carbon cycle and store renewable energy, but the stability, selectivity, efficiency and rate of such process needs to be improved. In this paper, we explore the use of Sustainion imidazolium-functionalized membranes and ionomers to improve the performance of that process. Potentiometric runs at a fixed current of 200 mA/cm 2 using Sustainion membranes and ionomers showed that one can maintain 98% selectivity at about 3V applied potential for five months, with a voltage increase of only 3 μV/hour. Other runs showed stable performance at 400 and 600 mA/cm². These results pave the way for commercialization of CO 2 electrolysis, providing a viable pathway to recycle CO 2 back to fuels.
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
A review of catalysts for the electroreduction of carbon dioxide to produce low-carbon fuels
Qiao, J., Liu, Y., Hong, F., & Zhang, J. (2014) · Chem. Soc. Rev. · doi:10.1039/c3cs60323g · Cited by 2,990
Frontiers, Opportunities, and Challenges in Biochemical and Chemical Catalysis of CO 2 Fixation
Appel, A. M., Bercaw, J. E., Bocarsly, A. B., Dobbek, H., DuBois, D. L., Dupuis, M., Ferry, J. G., Fujita, E., Hille, R., Kenis, P. J. A., et al. (2013) · Chemical Reviews · doi:10.1021/cr300463y · Cited by 2,193
Ionic Liquid–Mediated Selective Conversion of CO 2 to CO at Low Overpotentials
Rosen, B. A., Salehi-Khojin, A., Thorson, M. R., Zhu, W., Whipple, D. T., Kenis, P. J. A., & Masel, R. I. (2011) · Science · doi:10.1126/science.1209786 · Cited by 1,558
Self-citationVerma, S., Lu, X., Ma, S., Masel, R. I., & Kenis, P. J. A. (2016) · Physical Chemistry Chemical Physics · doi:10.1039/c5cp05665a · Cited by 497
Self-citationLim, R. J., Xie, M., Sk, M. A., Lee, J.-M., Fisher, A., Wang, X., & Lim, K. H. (2014) · Catalysis Today · doi:10.1016/j.cattod.2013.11.037 · Cited by 460
Delacourt, C., Ridgway, P. L., Kerr, J. B., & Newman, J. (2008) · Journal of The Electrochemical Society · doi:10.1149/1.2801871 · Cited by 442
Switching the Reaction Course of Electrochemical CO 2 Reduction with Ionic Liquids
Sun, L., Ramesha, G. K., Kamat, P. V., & Brennecke, J. F. (2014) · Langmuir · doi:10.1021/la5009076 · Cited by 279
Electrochemical generation of syngas from water and carbon dioxide at industrially important rates
Liu, Z., Masel, R. I., Chen, Q., Kutz, R., Yang, H., Lewinski, K., Kaplun, M., Luopa, S., & Lutz, D. R. (2016) · Journal of CO2 Utilization · doi:10.1016/j.jcou.2016.04.011 · Cited by 93
Self-citationDewulf, D. W., & Bard, A. J. (1988) · Catalysis Letters · doi:10.1007/bf00765357 · Cited by 91
Cited by
Xia, C., Zhu, P., Jiang, Q., Pan, Y., Liang, W., Stavitski, E., Alshareef, H. N., & Wang, H. (2019) · Nature Energy · doi:10.1038/s41560-019-0451-x · Cited by 782
Towards membrane-electrode assembly systems for CO2 reduction: a modeling study
Weng, L.-C., Bell, A. T., & Weber, A. Z. (2019) · Energy & Environmental Science · doi:10.1039/c9ee00909d · Cited by 452
Endrődi, B., Kecsenovity, E., Samu, A., Halmágyi, T., Rojas-Carbonell, S., Wang, L., Yan, Y., & Janáky, C. (2020) · Energy & Environmental Science · doi:10.1039/d0ee02589e · Cited by 303
Renewable electricity storage using electrolysis
Yan, Z., Hitt, J. L., Turner, J. A., & Mallouk, T. E. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1821686116 · Cited by 248
Metadata
- Authors
- Liu, Z., Yang, H., Kutz, R., & Masel, R. I.
- Venue
- Journal of The Electrochemical Society
- Publisher
- The Electrochemical Society
- Published
- 2018
- Volume
- 165
- Issue
- 15
- Pages
- J3371-J3377
- ISSN
- 0013-4651 (ISSN-L)
- 1945-7111
- OpenAlex
- W2902607515
- Cited by
- 295
- References
- 9
- FWCI
- 3.45
- 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: CO2Electrolysis to CO and O2at High Selectivity, Stability and Efficiency Using Sustainion Membranes. https://app.cochat.ai/papers/10.1149/2.0501815jes
- The paper
- Liu, Z., Yang, H., Kutz, R., & Masel, R. I. (2018). CO2Electrolysis to CO and O2at High Selectivity, Stability and Efficiency Using Sustainion Membranes. Journal of The Electrochemical Society. https://doi.org/10.1149/2.0501815jes
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.
