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Cited by 17Electrocatalysts for Energy ConversionCO2 Reduction Techniques and CatalystsSupercapacitor Materials and Fabrication

The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.

Synthesis of ultrathin porous C3N4-modified Co3O4 nanosheets for enhanced oxygen evolution reaction

Abstract

Abstract Oxygen evolution reaction (OER) plays important roles in energy storage and conversion technologies, but the sluggish kinetics of OER may result in a large overpotential, and thus there is urgent need for the exploration of new electrocatalysts with a low overpotential and good stability. In this research, we integrate the melamine-assisted alkaline cobalt carbonate (CoCH) nanosheets pyrolysis with high-temperature solid phase fusion to construct the 1-C3N4/Co3O4/Ni foam hybrid electrode with Co3O4 ultrathin porous nanosheets as the host, trace C3N4 as the guest, and Ni foam (NF) as the current collector. Benefiting from the unique structure, the obtained 1-C3N4/Co3O4 hybrid nanosheets can significantly reduce the charge transfer distance between the catalysts to electron collector and improve the electron transportation during the OER process. Moreover, the intimate interaction of Co3O4 with C3N4 can induce a charge redistribution at the interface. Consequently, the 1-C3N4/Co3O4/NF hybrid electrode exhibits an enhanced OER performance (166 mV at 10 mA•cm−2) and good stability, superior to the commercial RuO2 particles and the reported transition metal-based electrocatalysts.

Overview

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Crossref · 10.1016/j.electacta.2020.137537

Cites

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Citations

Cites

Show all 65 references

Research works printed but not linked: 3

  1. Liu, 2019, 2D Electron gas and oxygen vacancy induced high oxygen evolution performances for advanced Co3O4/CeO2 nanohybrids, Adv. Mater., 31
  2. Wang, 2019, Defect‐rich nitrogen doped CoO/C porous nanocubes enable high‐efficiency bifunctional oxygen electrocatalysis, Adv. Funct. Mater., 29
  3. Li, 2019, Co3O4 nanoparticles with ultrasmall size and abundant oxygen vacancies for boosting oxygen involved reactions, Adv. Funct. Mater., 29

Cited by

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Metadata

Authors
Wang, H., Liu, Y., Sun, Z., Ren, J., Zou, X., & Zhang, C.-Y.
Affiliations
Shandong Normal University (CN)
Corresponding author
Zhang, Chun-Yang
Venue
Electrochimica Acta
Publisher
Elsevier BV
Published
2021-01
Volume
367
Pages
137537
ISSN
0013-4686 (ISSN-L)
OpenAlex
W3109873589
Cited by
17
References
65
Citations by year
2026: 1 · 2024: 2 · 2023: 5 · 2022: 3 · 2021: 6
FWCI
0.68
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
Electrochimica Acta (publishedVersion)
Funders
  • National Natural Science Foundation of China (21527811, 21735003, 21905161)
  • China Postdoctoral Science Foundation (2017M620292)
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › CO2 Reduction Techniques and Catalysts
  • Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Supercapacitor Materials and Fabrication
Keywords
oxygen evolution reaction, cobalt oxide nanosheets, carbon nitride, hybrid electrocatalyst, charge transfer, interfacial charge redistribution, overpotential reduction, electrocatalyst stability

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CoChat. (2026). Citation check: Synthesis of ultrathin porous C3N4-modified Co3O4 nanosheets for enhanced oxygen evolution reaction. https://app.cochat.ai/papers/10.1016/j.electacta.2020.137537
The paper
Wang, H., Liu, Y., Sun, Z., Ren, J., Zou, X., & Zhang, C.-Y. (2021). Synthesis of ultrathin porous C3N4-modified Co3O4 nanosheets for enhanced oxygen evolution reaction. Electrochimica Acta. https://doi.org/10.1016/j.electacta.2020.137537

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.