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Cited by 339

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Sub‐3 nm Ultrafine Monolayer Layered Double Hydroxide Nanosheets for Electrochemical Water Oxidation

Zhao, Yufei, Zhang, Xin, Jia, Xiaodan, Waterhouse, Geoffrey I. N., Shi, Run, Zhang, Xuerui, Zhan, Fei, Tao, Ye, Wu, Li‐Zhu, Tung, Chen‐Ho, O'Hare, Dermot, Zhang, Tierui·2018·Advanced Energy Materials

Abstract

This study reports the synthesis of ultrafine NiFe‐layered double hydroxide (NiFe‐LDH) nanosheets, possessing a size range between 1.5 and 3.0 nm with a thickness of 0.6 nm. Abundant metal and oxygen vacancies impart the ultrafine nanosheets with semi‐metallic character, and thus superior charge transfer properties and electrochemical water oxidation performance with overpotentials (η) of 254 mV relative to monolayer LDH nanosheets (η of 280 mV) or bulk LDH materials (η of 320 mV) at 10 mA cm−2. These results are highly encouraging for the future application of ultrafine monolayer LDH nanosheets in electronics, solar cells, and catalysis.

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Metadata

Authors
Zhao, Y., Zhang, X., Jia, X., Waterhouse, G. I. N., Shi, R., Zhang, X., Zhan, F., Tao, Y., Wu, L., Tung, C., O'Hare, D., & Zhang, T.
Venue
Advanced Energy Materials
Publisher
Wiley
Published
2018-02-21
Volume
8
Issue
18
ISSN
  • 1614-6832 (ISSN-L)
  • 1614-6840
OpenAlex
W2791123199
Cited by
339
References
3
FWCI
10.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Sub‐3 nm Ultrafine Monolayer Layered Double Hydroxide Nanosheets for Electrochemical Water Oxidation. https://app.cochat.ai/papers/10.1002/aenm.201703585
The paper
Zhao, Y., Zhang, X., Jia, X., Waterhouse, G. I. N., Shi, R., Zhang, X., Zhan, F., Tao, Y., Wu, L., Tung, C., O'Hare, D., & Zhang, T. (2018). Sub‐3 nm Ultrafine Monolayer Layered Double Hydroxide Nanosheets for Electrochemical Water Oxidation. Advanced Energy Materials. https://doi.org/10.1002/aenm.201703585

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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.