Issue 10, 2023

Controllable preparation of 2D carbon paper modified with flower-like WS2 for efficient microwave absorption

Abstract

In the practical application of microwave absorbing materials, traditional powder materials need to be mixed with the matrix to fabricate composite coatings. However, the complex preparation process of composite coatings and the uneven dispersion of powders in the matrix limit their application. To solve these problems, two-dimensional (2D) F-WS2/CP composite films were prepared by using carbon paper (CP) as a dispersion matrix and loading flower-like WS2 on its surface through a simple hydrothermal method. The morphology and microwave absorption (MA) performance of the composite films are easily regulated by adjusting the amount of reaction precursors. The combination of WS2 and CP facilitates impedance matching and improves the electromagnetic wave attenuation performance based on the synergistic effect of different loss mechanisms including multiple reflections and scattering, interfacial polarization, dipolar polarization, and conduction loss. At a low filler content (5 wt%), the maximum reflection loss (RL) of the composite film is up to −50 dB (99.999% energy absorption) at 12.5 GHz with 2.8 mm thickness. Moreover, at a relatively thin 1.8 mm thickness, its maximum RL remains −35 dB (>99.9% energy absorption). The as-prepared composite film shows excellent MA properties at a thinner thickness and lower filling content, providing inspiration for the preparation of light weight and efficient 2D thin-film microwave absorbers in the future.

Graphical abstract: Controllable preparation of 2D carbon paper modified with flower-like WS2 for efficient microwave absorption

Supplementary files

Article information

Article type
Paper
Submitted
27 Sep 2022
Accepted
01 Feb 2023
First published
06 Feb 2023

Dalton Trans., 2023,52, 3085-3096

Controllable preparation of 2D carbon paper modified with flower-like WS2 for efficient microwave absorption

H. Chen, Z. Xu, Y. Zhou, M. Zhang, S. Feng, X. Bu, Z. Zhang and M. He, Dalton Trans., 2023, 52, 3085 DOI: 10.1039/D2DT03137J

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