4.7 Article

Achieving super-broad effective absorption bandwidth with low filler loading for graphene aerogels/raspberry-like CoFe2O4 clusters by N doping

Journal

JOURNAL OF COLLOID AND INTERFACE SCIENCE
Volume 590, Issue -, Pages 186-198

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcis.2021.01.069

Keywords

Multifunctional composites; Physical properties; Surface analysis; Performing

Funding

  1. National Natural Science Foundation of China [11774020, 52071009, 12011530067]
  2. Beijing Natural Science Foundation [2172045]
  3. Ministry of Finance
  4. Ministry of Education of PRC
  5. Fundamental Research Funds for the Central Universities [XK1802-6]

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The study presents a CFO/N-rGA composite material with a super-broad microwave absorption bandwidth and low reflection loss. The high-efficiency microwave absorption of the composite material is attributed to enhanced polarization relaxation, specific design of the conductive network, and superior impedance matching.
A unique three-dimension (3D) porous network structure where N-doped reduced graphene oxide aerogels (N-rGA) are decorated by raspberry-like CoFe2O4 (CFO) clusters. Super-broad effective microwave absorption bandwidth (7.28 GHz) of the CFO/N-rGA composite is obtained at 2.53 mm by changing N contents. Here, the dipolar relaxation loss and conduction loss are highly sensitive to the presence of pyridinic, pyrrolic and graphitic N in the CFO/N-rGA composites. A minimum reflection loss of the CFO/N-rGA composites reaches up to -55.43 dB at 15.36 GHz with a matching thickness (2.3 mm) and low filler loading (10 wt%). Its effective absorption bandwidth completely covers X-band from 7.76 to 12.72 GHz at 3.3 mm. The high-efficiency microwave absorption of the composites mainly results from the enhanced polarization relaxation, the specific design of conductive network and the superior impedance matching. This study offers a promising technical route to explore new N-doped magnetic/dielectric composites as ideal microwave absorbers. (C) 2021 Elsevier Inc. All rights reserved.

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