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Synthesis of sandwich-like Co15Fe85@C/RGO multicomponent composites with tunable electromagnetic parameters and microwave absorption performance.
Bao, Susu; Tang, Wen; Song, Zhijia; Jiang, Qiaorong; Jiang, Zhiyuan; Xie, Zhaoxiong.
Afiliação
  • Bao S; State Key Laboratory of Physical Chemistry of Solid Surfaces, and College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China. zyjiang@xmu.edu.cn.
Nanoscale ; 12(36): 18790-18799, 2020 Sep 28.
Article em En | MEDLINE | ID: mdl-32970071
ABSTRACT
Magnetic particle/carbon hybrid structures are promising candidates for high performance microwave absorbing materials with light weight and strong absorption. However, it remains a great challenge to balance the permittivity and permeability to realize impedance matching and further improve their absorption bandwidth. Herein, an effective strategy is designed to fabricate sandwich-like Co15Fe85@C/RGO composites. By introducing RGO sheets in the hybrid structures, the electromagnetic parameters, impedance matching and microwave absorption properties of the final materials can be well controlled. The optimized Co15Fe85@C/RGO composite shows an excellent microwave absorption performance, the strongest reflection loss (RL) of the sample is up to -33.38 dB at 10.72 GHz with a matching thickness of 2.5 mm, and the effective bandwidth (RL < -10 dB) can reach 9.2 GHz (8.64-17.84 GHz). With a single thickness, such a wide absorption band is rarely reported. Their excellent performance can be ascribed to the synergetic effect of the chemical composition and unique sandwich-like structures, which will improve impendence matching and strong microwave attenuation constants of the composites. Our results provide a facile strategy for tuning the electromagnetic parameters and microwave absorption properties of magnetic metal/carbon hybrid structures.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article