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Cited by 485

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Rare‐Earth Single Erbium Atoms for Enhanced Photocatalytic CO2 Reduction

Ji, Shufang, Qu, Yang, Wang, Tao, Chen, Yuanjun, Wang, Guofeng, Li, Xue, Dong, Juncai, Chen, QiuYu, Zhang, Wanying, Zhang, Zedong, Liang, Shiyou, Yu, Rong, Wang, Yu, Wang, Dingsheng, Li, Yadong·2020·Angewandte Chemie International Edition

Abstract

The solar‐driven photocatalytic reduction of CO 2 (CO 2 RR) into chemical fuels is a promising route to enrich energy supplies and mitigate CO 2 emissions. However, low catalytic efficiency and poor selectivity, especially in a pure‐water system, hinder the development of photocatalytic CO 2 RR owing to the lack of effective catalysts. Herein, we report a novel atom‐confinement and coordination (ACC) strategy to achieve the synthesis of rare‐earth single erbium (Er) atoms supported on carbon nitride nanotubes (Er 1/CN‐NT) with a tunable dispersion density of single atoms. Er 1/CN‐NT is a highly efficient and robust photocatalyst that exhibits outstanding CO 2 RR performance in a pure‐water system. Experimental results and density functional theory calculations reveal the crucial role of single Er atoms in promoting photocatalytic CO 2 RR.

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Metadata

Authors
Ji, S., Qu, Y., Wang, T., Chen, Y., Wang, G., Li, X., Dong, J., Chen, Q., Zhang, W., Zhang, Z., Liang, S., Yu, R., Wang, Y., Wang, D., & Li, Y.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2020-04-15
Volume
59
Issue
26
Pages
10651-10657
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W3011951261
Cited by
485
References
36
FWCI
14.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Rare‐Earth Single Erbium Atoms for Enhanced Photocatalytic CO2 Reduction. https://app.cochat.ai/papers/10.1002/anie.202003623
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Ji, S., Qu, Y., Wang, T., Chen, Y., Wang, G., Li, X., Dong, J., Chen, Q., Zhang, W., Zhang, Z., Liang, S., Yu, R., Wang, Y., Wang, D., & Li, Y. (2020). Rare‐Earth Single Erbium Atoms for Enhanced Photocatalytic CO2 Reduction. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.202003623

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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.