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Cited by 272

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Synthesis of Nanoporous Carbon–Cobalt‐Oxide Hybrid Electrocatalysts by Thermal Conversion of Metal–Organic Frameworks

Chaikittisilp, Watcharop, Torad, Nagy L., Li, Cuiling, Imura, Masataka, Suzuki, Norihiro, Ishihara, Shinsuke, Ariga, Katsuhiko, Yamauchi, Yusuke·2014·Chemistry – A European Journal

Abstract

Nanoporous carbon–cobalt‐oxide hybrid materials are prepared by a simple, two‐step, thermal conversion of a cobalt‐based metal–organic framework (zeolitic imidazolate framework‐9, ZIF‐9). ZIF‐9 is carbonized in an inert atmosphere to form nanoporous carbon–metallic‐cobalt materials, followed by the subsequent thermal oxidation in air, yielding nanoporous carbon–cobalt‐oxide hybrids. The resulting hybrid materials are evaluated as electrocatalysts for the oxygen‐reduction reaction (ORR) and the oxygen‐evolution reaction (OER) in a KOH electrolyte solution. The hybrid materials exhibit similar catalytic activity in the ORR to the benchmark, commercial, Pt/carbon black catalyst, and show better catalytic activity for the OER than the Pt‐based catalyst.

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Metadata

Authors
Chaikittisilp, W., Torad, N. L., Li, C., Imura, M., Suzuki, N., Ishihara, S., Ariga, K., & Yamauchi, Y.
Venue
Chemistry – A European Journal
Publisher
Wiley
Published
2014-03-12
Volume
20
Issue
15
Pages
4217-4221
ISSN
  • 0947-6539 (ISSN-L)
  • 1521-3765
OpenAlex
W2047103832
Cited by
272
References
64
FWCI
9.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Synthesis of Nanoporous Carbon–Cobalt‐Oxide Hybrid Electrocatalysts by Thermal Conversion of Metal–Organic Frameworks. https://app.cochat.ai/papers/10.1002/chem.201304404
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Chaikittisilp, W., Torad, N. L., Li, C., Imura, M., Suzuki, N., Ishihara, S., Ariga, K., & Yamauchi, Y. (2014). Synthesis of Nanoporous Carbon–Cobalt‐Oxide Hybrid Electrocatalysts by Thermal Conversion of Metal–Organic Frameworks. Chemistry – A European Journal. https://doi.org/10.1002/chem.201304404

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.