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Cited by 297

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Vapor diffusion synthesis of CoFe2O4hollow sphere/graphene composites as absorbing materials

Fu, Min, Jiao, Qingze, Zhao, Yun, Li, Hansheng·2014·J. Mater. Chem. A

Abstract

Novel CoFe2O4 hollow sphere/graphene composites were synthesized by a facile vapor diffusion method in combination with calcination at 550 °C. The structure and morphology of as-prepared hybrid materials were characterized by electron microscopy, X-ray diffractometry, Fourier transform infrared spectroscopy, X-ray photoelectron spectroscopy and Raman spectroscopy. Uniform CoFe2O4 hollow spheres with a diameter of about 500 nm and a shell thickness of approximately 50 nm were homogeneously distributed on graphene sheets. The electromagnetic parameters were measured using a vector network analyzer. A minimum reflection loss of −18.5 dB was observed at 12.9 GHz for the CoFe2O4 hollow sphere/graphene composites with a thickness of 2 mm, and the effective absorption frequency ranged from 11.3 to 15.0 GHz. The CoFe2O4 hollow sphere/graphene composites exhibited better microwave absorbing performance than the CoFe2O4 hollow spheres. A possible formation mechanism for CoFe2O4 hollow sphere/graphene composites was proposed.

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Metadata

Authors
Fu, M., Jiao, Q., Zhao, Y., & Li, H.
Venue
J. Mater. Chem. A
Published
2014
Volume
2
Issue
3
Pages
735-744
ISSN
  • 2050-7488 (ISSN-L)
  • 2050-7496
OpenAlex
W2026130166
Cited by
297
References
2
FWCI
8.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Vapor diffusion synthesis of CoFe2O4hollow sphere/graphene composites as absorbing materials. https://app.cochat.ai/papers/10.1039/c3ta14050d
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Fu, M., Jiao, Q., Zhao, Y., & Li, H. (2014). Vapor diffusion synthesis of CoFe2O4hollow sphere/graphene composites as absorbing materials. J. Mater. Chem. A. https://doi.org/10.1039/c3ta14050d

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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.