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Cited by 628

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Phosphorus-Doped Co3O4 Nanowire Array: A Highly Efficient Bifunctional Electrocatalyst for Overall Water Splitting

Wang, Zhichao, Liu, Hongli, Ge, Ruixiang, Ren, Xiang, Ren, Jun, Yang, Dongjiang, Zhang, Lixue, Sun, Xuping·2018·ACS Catalysis

Abstract

It is vitally essential to design highly efficient and cost-effective bifunctional electrocatalysts toward water splitting. Herein, we report the development of P-doped Co 3 O 4 nanowire array on nickel foam (P-Co 3 O 4 /NF) from Co 3 O 4 nanowire array through low-temperature annealing, using NaH 2 PO 2 as the P source. As a 3D catalyst, such P-Co 3 O 4 /NF demonstrates superior performance for oxygen evolution reaction with a low overpotential (260 mV at 20 mA cm –2 ), a small Tafel slope (60 mV dec –1 ), and a satisfying durability in 1.0 M KOH. Density functional theory calculations indicate that P-Co 3 O 4 has a reaction free-energy value that is much smaller than that of pristine Co 3 O 4 for the potential determining step of the oxygen evolution reaction. Such P-Co 3 O 4 /NF also performs efficiently for hydrogen evolution reaction, and a two-electrode alkaline electrolyzer assembled by P 8.6 -Co 3 O 4 /NF as both anode and cathode needs only 1.63 V to reach a water-splitting current of 10 mA cm –2 .

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Citations

Cites

Research works printed but not linked: 44

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Cited by

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Metadata

Authors
Wang, Z., Liu, H., Ge, R., Ren, X., Ren, J., Yang, D., Zhang, L., & Sun, X.
Venue
ACS Catalysis
Published
2018-02-08
Volume
8
Issue
3
Pages
2236-2241
ISSN
2155-5435 (ISSN-L)
OpenAlex
W2785591307
Cited by
628
References
6
FWCI
19.79
Type
journal article
Language
en
Open access
closed
Funders
  • Shandong Province
  • National Natural Science Foundation of China (21575137, 21775078)
  • Natural Science Foundation of Shandong Province (JQ201713, ZR2016JL007)
  • Qingdao Municipal Science and Technology Bureau (16-5-1-44-jch)

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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.