The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Atomically Dispersed Ni–Cu Catalysts for pH‐Universal CO2 Electroreduction
Abstract
CO 2 electroreduction is of great significance to reduce CO 2 emissions and complete the carbon cycle. However, the unavoidable carbonate formation and low CO 2 utilization efficiency in neutral or alkaline electrolytes hinder its application at commercial scale. The development of CO 2 reduction under acidic conditions provides a promising strategy, but the inhibition of the hydrogen evolution reaction is difficult. Herein, the first work to design a Ni–Cu dual atom catalyst supported on hollow nitrogen‐doped carbon is reported for pH‐universal CO 2 electroreduction to CO. The catalyst shows a high CO Faradaic efficiency of ≈99% in acidic, neutral, and alkaline electrolytes, and the partial current densities of CO reach 190 ± 11, 225 ± 10, and 489 ± 14 mA cm−2, respectively. In particular, the CO 2 utilization efficiency under acidic conditions reaches 64.3%, which is twice as high as that of alkaline conditions. Detailed study indicates the existence of electronic interaction between Ni and Cu atoms. The Cu atoms push the Ni d‐band center further toward the Fermi level, thereby accelerating the formation of *COOH. In addition, operando characterizations and density functional theory calculation are used to elucidate the possible reaction mechanism of CO 2 to CO under acidic and alkaline electrolytes.
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1 retracted
RETRACTED ARTICLE: A universal principle for a rational design of single-atom electrocatalysts
Xu, H., Cheng, D., Cao, D., & Zeng, X. C. (2018) · Nature Catalysis · doi:10.1038/s41929-018-0063-z · Cited by 1,590
RetractedProgress 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
What would it take for renewably powered electrosynthesis to displace petrochemical processes?
De Luna, P., Hahn, C., Higgins, D., Jaffer, S. A., Jaramillo, T. F., & Sargent, E. H. (2019) · Science · doi:10.1126/science.aav3506 · Cited by 3,052
Atomically dispersed Ni(i) as the active site for electrochemical CO2 reduction
Yang, H. B., Hung, S.-F., Liu, S., Yuan, K., Miao, S., Zhang, L., Huang, X., Wang, H.-Y., Cai, W., Chen, R., et al. (2018) · Nature Energy · doi:10.1038/s41560-017-0078-8 · Cited by 2,239
Self-citationAtomically dispersed Fe 3+ sites catalyze efficient CO 2 electroreduction to CO
Gu, J., Hsu, C.-S., Bai, L., Chen, H. M., & Hu, X. (2019) · Science · doi:10.1126/science.aaw7515 · Cited by 1,610
CO 2 electrolysis to multicarbon products in strong acid
Huang, J. E., Li, F., Ozden, A., Sedighian Rasouli, A., García de Arquer, F. P., Liu, S., Zhang, S., Luo, M., Wang, X., Lum, Y., et al. (2021) · Science · doi:10.1126/science.abg6582 · Cited by 1,359
Self-citationElectrocatalysis for CO 2 conversion: from fundamentals to value-added products
Wang, G., Chen, J., Ding, Y., Cai, P., Yi, L., Li, Y., Tu, C., Hou, Y., Wen, Z., & Dai, L. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00071j · Cited by 1,295
Isolated Diatomic Ni‐Fe Metal–Nitrogen Sites for Synergistic Electroreduction of CO2
Ren, W., Tan, X., Yang, W., Jia, C., Xu, S., Wang, K., Smith, S. C., & Zhao, C. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201901575 · Cited by 1,036
Self-citationJin, S., Hao, Z., Zhang, K., Yan, Z., & Chen, J. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202101818 · Cited by 1,022
Gu, J., Liu, S., Ni, W., Ren, W., Haussener, S., & Hu, X. (2022) · Nature Catalysis · doi:10.1038/s41929-022-00761-y · Cited by 846
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Cited by
Wang, J., Yuan, L., Zhang, P., Mao, J., Fan, J., & Zhang, X. L. (2024) · Nanoscale · doi:10.1039/d3nr06411e · Cited by 21
Metadata
- Authors
- Zhang, L., Feng, J., Liu, S., Tan, X., Wu, L., Jia, S., Xu, L., Ma, X., Song, X., Ma, J., Sun, X., & Han, B.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2023-02-20
- Volume
- 35
- Issue
- 13
- Pages
- e2209590-e2209590
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W4315433496
- Cited by
- 265
- References
- 50
- FWCI
- 12.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhang, L., Feng, J., Liu, S., Tan, X., Wu, L., Jia, S., Xu, L., Ma, X., Song, X., Ma, J., Sun, X., & Han, B. (2023). Atomically Dispersed Ni–Cu Catalysts for pH‐Universal CO2 Electroreduction. Advanced Materials. https://doi.org/10.1002/adma.202209590
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