Electrochemical reduction of carbon dioxide with nearly 100% carbon monoxide faradaic efficiency from vacancy-stabilized single-atom active sites
Abstract
Unsaturated Ni centers are prepared through a CO 2 -to-carbon process and exhibit promising performance for electrochemical CO 2 reduction. As cathodes in flow cells, the catalysts exhibit nearly 100% selectivity for CO formation under a high current density of 51 mA cm −2 .
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DFT calculation is a major means to investigate the mechanism of the electrocatalytic reaction.
“DFT calculation is a major means to investigate the mechanism of the electrocatalytic reaction [49,50].”
From Partially oxidized ruthenium aerogel as highly active bifunctional electrocatalyst for overall water splitting in both alkaline and acidic media (2022) · cites this paper as [50]
Cites
Enhanced electrocatalytic CO2 reduction via field-induced reagent concentration
Liu, M., Pang, Y., Zhang, B., De Luna, P., Voznyy, O., Xu, J., Zheng, X., Dinh, C. T., Fan, F., Cao, C., et al. (2016) · Nature · doi:10.1038/nature19060 · Cited by 2,000 · see citing works
Ionic Liquid–Mediated Selective Conversion of CO <sub>2</sub> 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 · see citing works
Domino electroreduction of CO2 to methanol on a molecular catalyst
Wu, Y., Jiang, Z., Lu, X., Liang, Y., & Wang, H. (2019) · Nature · doi:10.1038/s41586-019-1760-8 · Cited by 1,194 · see citing works
Large-Scale and Highly Selective CO2 Electrocatalytic Reduction on Nickel Single-Atom Catalyst
Zheng, T., Jiang, K., Ta, N., Hu, Y., Zeng, J., Liu, J., & Wang, H. (2019) · Joule · doi:10.1016/j.joule.2018.10.015 · Cited by 887 · see citing works
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Yan, S., Liao, W., Zhong, M., Li, W., Wang, C., Pinna, N., Chen, W., & Lu, X. (2022) · Applied Catalysis B: Environment and Energy · doi:10.1016/j.apcatb.2022.121199 · Cited by 106 · see citing works
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- Authors
- Lu, C., Jiang, K., Tranca, D., Wang, N., Zhu, H., Rodríguez-Hernández, F., Chen, Z., Yang, C., Zhang, F., Su, Y., Ke, C., Zhang, J., Han, Y., & Zhuang, X.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Beijing University of Technology (CN)
- King Abdullah University of Science and Technology (SA)
- Departamento de Química, Universidad Autónoma de Madrid, Módulo 13, 28049 Madrid, Spain
- Chinese Academy of Sciences (CN)
- Corresponding author
- Zhang, Fan
- Ke, Changchun
- Zhang, Jichao
- Zhuang, Xiaodong
- ORCID
- Venue
- Journal of Materials Chemistry A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2021
- Volume
- 9
- Issue
- 44
- Pages
- 24955-24962
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W3205795914
- Cited by
- 46
- References
- 4
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 7 · 2023: 16 · 2022: 12
- FWCI
- 1.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Materials Chemistry A (publishedVersion)
- King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) (submittedVersion)
- Funders
- National Natural Science Foundation of China (51973114, 21720102002, 51811530013, 11705270, 11975100, 21406220)
- National Key Research and Development Program of China (2017YFE9134000)
- Science and Technology Commission of Shanghai Municipality (19JC412600)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › CO2 Reduction Techniques and Catalysts
- Physical Sciences › Chemical Engineering › Catalysis › Catalysts for Methane Reforming
- Physical Sciences › Chemical Engineering › Process Chemistry and Technology › Carbon dioxide utilization in catalysis
- Keywords
- electrochemical CO2 reduction, CO selectivity, single-atom catalysts, nickel catalysts, flow cell, high current density
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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.
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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