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Cited by 347

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Synthesis and microwave absorption property of flexible magnetic film based on graphene oxide/carbon nanotubes and Fe3O4nanoparticles

Wang, Lina, Jia, Xilai, Li, Yongfeng, Yang, Fan, Zhang, Liqiang, Liu, Liping, Ren, Xiao, Yang, Haitao·2014·Journal of Materials Chemistry A

Abstract

We report a simple procedure for fabricating flexible, free-standing, and magnetic film of GO/CNT–Fe3O4 composites by using a one-pot co-precipitation in situ growth route. Characterizations including X-ray diffraction, Raman spectroscopy, superconducting quantum interference device magnetometry, scanning electron microscopy and transmission electron microscopy have been carried out to investigate the morphology, crystalline structure and magnetic properties of the composites. The layered structure of the as-prepared composites is porous and superparamagnetic. The GO/CNT–Fe3O4 composites exhibit excellent microwave absorbing properties in the range of 2–18 GHz and are expected to be promising candidates as microwave absorbing materials.

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Crossref · 10.1039/c4ta02815e

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Metadata

Authors
Wang, L., Jia, X., Li, Y., Yang, F., Zhang, L., Liu, L., Ren, X., & Yang, H.
Venue
Journal of Materials Chemistry A
Published
2014-07-22
Volume
2
Issue
36
Pages
14940
ISSN
  • 2050-7488 (ISSN-L)
  • 2050-7496
OpenAlex
W1968239747
Cited by
347
References
36
FWCI
9.99
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Synthesis and microwave absorption property of flexible magnetic film based on graphene oxide/carbon nanotubes and Fe3O4nanoparticles. https://app.cochat.ai/papers/10.1039/c4ta02815e
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Wang, L., Jia, X., Li, Y., Yang, F., Zhang, L., Liu, L., Ren, X., & Yang, H. (2014). Synthesis and microwave absorption property of flexible magnetic film based on graphene oxide/carbon nanotubes and Fe3O4nanoparticles. Journal of Materials Chemistry A. https://doi.org/10.1039/c4ta02815e

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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.