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Bioinspired Carbon Superstructures for Efficient Electromagnetic Shielding

delete2023-01-09
delete18
PRE
AI
W
Wei Sun
娄志超 封面图
娄志超 (Zhichao Lou) *
X
Xu Lei *
马
马千里 (Qianli Ma)
H
He Han
陈美玲 封面图
陈美玲 (Meiling Chen)
Q
Qiuyi Wang
J
Jingquan Han
李
李延军 (Yanjun Li)
DOI:10.1021/acsami.2c21622delete
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摘要

摘要

En 中文
Biologically inspired superstructural materials exhibit wide application prospects in many fields, in terms of mitigating increasingly serious electromagnetic (EM) pollution in the civil field. Here, we successfully obtain bamboo slices with uniform pore size distribution through the advanced bamboo transverse splitting technology developed by our group previously and prepare large-scale honeycomb-like carbon-based tubular array (CTA) structures with a controllable pore size, graphitization degree, and selectable conductivity property. Based on the simulation and experimental results, the EM shielding performance of CTAs is proven to be sensitive to the microchannel aperture size and the EM energy incident angle, which is attributed to the difference in the propagation rate of induced electrons in different directions. Among the candidates, CTA-middle-1500 exhibits the best shielding performance against incident EM energy with average SE/rho values of 123.7 and 144.5 dB cm3 g-1 for perpendicular and parallel directions, respectively, showing its application potential as a lightweight and efficient EM shielding material. The predicted optimal incident angle for CTA-middle-1500 against EM energy radiation is 15 degrees, with the largest RCS reduction value of 26.1 dB m2. The excellent EM shielding performance is attributed to the good reflection capacity involved with the high conductivities of the CTAs.
Keyword:
carbon
biomass
electromagnetic shielding
tubular array
bioinspired superstructure
incident angle

期刊

ACS Applied Materials and Interfaces 封面图
ACS Applied Materials and Interfaces
IF:
8.2
论文数:
6.1W
被引数:
38.7W

机构

J
Jiangsu Academy of Agricultural Sciences
学者数:
5.6K
论文数: 3.7K
被引数: 5.9K
N
Nanjing Forestry University
学者数:
2.0W
论文数: 1.6W
被引数: 3.2W
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