The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Atomic-scale surface restructuring of copper electrodes under CO2 electroreduction conditions
Open accessAbstract
Potentiodynamic methods that induce structural changes in Cu catalysts for the electrochemical reduction of CO 2 (CO 2 RR) have been identified as a promising strategy for steering the catalyst selectivity towards the generation of multi-carbon products. In current approaches, active species are created via a sequential Cu oxidation–reduction process. Here we show by in situ scanning tunnelling microscopy, surface X-ray diffraction and Raman spectroscopy measurements that low-coordinated Cu surface species form spontaneously near the onset of CO 2 electrocatalytic reduction. This process starts by CO-induced Cu nanocluster formation in the initial stages of the reaction, leading to irreversible surface restructuring that persists over a wide potential range. On subsequent potential increase, the nanoclusters disperse into Cu adatoms, which stabilize reaction intermediates on the surface. The observed self-induced formation of undercoordinated sites on the CO 2-converting Cu catalyst surface can account for its reactivity and may be exploited to (re)generate active CO 2 RR sites by potentiodynamic protocols.
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Cites
Progress and perspectives of electrochemical CO2 reduction on copper in aqueous electrolyte
Nitopi, S., Bertheussen, E., Scott, S. B., Liu, X., Engstfeld, A. K., Horch, S., Seger, B., Stephens, I. E. L., Chan, K., Hahn, C., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00705 · Cited by 5,223
Advances and challenges in understanding the electrocatalytic conversion of carbon dioxide to fuels
Birdja, Y. Y., Pérez-Gallent, E., Figueiredo, M. C., Göttle, A. J., Calle-Vallejo, F., & Koper, M. T. M. (2019) · Nature Energy · doi:10.1038/s41560-019-0450-y · Cited by 2,747
GenX: an extensible X-ray reflectivity refinement program utilizing differential evolution
Björck, M., & Andersson, G. (2007) · Journal of Applied Crystallography · doi:10.1107/s0021889807045086 · Cited by 934
Operando studies reveal active Cu nanograins for CO2 electroreduction
Yang, Y., Louisia, S., Yu, S., Jin, J., Roh, I., Chen, C., Fonseca Guzman, M. V., Feijóo, J., Chen, P.-C., Wang, H., et al. (2023) · Nature · doi:10.1038/s41586-022-05540-0 · Cited by 830
Arán-Ais, R. M., Scholten, F., Kunze, S., Rizo, R., & Roldan Cuenya, B. (2020) · Nature Energy · doi:10.1038/s41560-020-0594-9 · Cited by 771
Self-citationHuang, Y., Handoko, A. D., Hirunsit, P., & Yeo, B. S. (2017) · ACS Catalysis · doi:10.1021/acscatal.6b03147 · Cited by 685
Hori, Y., Takahashi, I., Koga, O., & Hoshi, N. (2002) · The Journal of Physical Chemistry B · doi:10.1021/jp013478d · Cited by 677
Copper nanoparticle ensembles for selective electroreduction of CO 2 to C 2 –C 3 products
Kim, D., Kley, C. S., Li, Y., & Yang, P. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711493114 · Cited by 645
Zhan, C., Dattila, F., Rettenmaier, C., Bergmann, A., Kühl, S., García-Muelas, R., López, N., & Cuenya, B. R. (2021) · ACS Catalysis · doi:10.1021/acscatal.1c01478 · Cited by 554
Self-citationHigh Selectivity for Ethylene from Carbon Dioxide Reduction over Copper Nanocube Electrocatalysts
Roberts, F. S., Kuhl, K. P., & Nilsson, A. (2015) · Angewandte Chemie · doi:10.1002/ange.201412214 · Cited by 489
Cited by
Non-equilibrium restructurings in catalysis: A chemical space odyssey
Zhang, Z., & Zhou, X. (2025) · MRS Communications · doi:10.1557/s43579-025-00902-x · Cited by 5
Metadata
- Authors
- Amirbeigiarab, R., Tian, J., Herzog, A., Qiu, C., Bergmann, A., Roldan Cuenya, B., & Magnussen, O. M.
- Venue
- Nature Catalysis
- Published
- 2023-08-17
- Volume
- 6
- Issue
- 9
- Pages
- 837-846
- ISSN
- 2520-1158 (ISSN-L)
- OpenAlex
- W4385948650
- Cited by
- 331
- References
- 47
- FWCI
- 15.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Amirbeigiarab, R., Tian, J., Herzog, A., Qiu, C., Bergmann, A., Roldan Cuenya, B., & Magnussen, O. M. (2023). Atomic-scale surface restructuring of copper electrodes under CO2 electroreduction conditions. Nature Catalysis. https://doi.org/10.1038/s41929-023-01009-z
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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