Design and investigation of a transparent and actively tunable broadband electromagnetic wave-absorbing metamaterial

Abstract With the development of electronic information technology, the demand for electromagnetic wave-absorbing materials with special characteristics such as transparency and tunability has surged. Here, a transparent and actively tunable broadband electromagnetic wave-absorbing metamaterial combined with diodes and indium tin oxide is designed and experimentally realized, achieving a transmittance of 71.9% and an effective absorption (reflection loss ( RL ) < −10 dB) bandwidth of 10.1 GHz (7.9–18 GHz). The RL of the sample changes from −35.95 dB to −11.53 dB at 9.69 GHz and from −11.11 dB to −42.29 dB at 15.83 GHz when the applied voltage is varied from 10 V to 20 V. In addition, the modulatory mechanisms of the absorption performance are investigated. The tunable RL is attributed to variations in the reflection, transmission and absorption of the metasurface and to the presence of multiple reflection mechanisms, which are essentially related to the electromagnetic coupling effect on the metasurface. This work lays the foundation for the preparation of wave-absorbing materials applicable to special scenarios and provides guidance for the modulation of the absorptive properties of metamaterials.

Authors

Institutions

Publication Details

Journal
Journal of Physics D Applied Physics
Published
2024-12-27
DOI
https://doi.org/10.1088/1361-6463/ada392
Citations
9
Primary Topic
Advanced Antenna and Metasurface Technologies
Type
article
Field-Weighted Citation Impact
11.69

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and investigation of a transparent and actively tunable broadband electromagnetic wave-absorbing metamaterial

Shaoyong Leng, Zhibiao Xu, Tao Wang, Ruilong Li et al.
9 citations
Journal of Physics D Applied Physics
Advanced Antenna and Metasurface Technologies
11.69
article

Design and investigation of a transparent and actively tunable broadband electromagnetic wave-absorbing metamaterial

Shaoyong Leng, Zhibiao Xu, Tao Wang, Ruilong Li, Ying Wang, W. Lin
article en
9 citations

Abstract

Abstract With the development of electronic information technology, the demand for electromagnetic wave-absorbing materials with special characteristics such as transparency and tunability has surged. Here, a transparent and actively tunable broadband electromagnetic wave-absorbing metamaterial combined with diodes and indium tin oxide is designed and experimentally realized, achieving a transmittance of 71.9% and an effective absorption (reflection loss ( RL ) < −10 dB) bandwidth of 10.1 GHz (7.9–18 GHz). The RL of the sample changes from −35.95 dB to −11.53 dB at 9.69 GHz and from −11.11 dB to −42.29 dB at 15.83 GHz when the applied voltage is varied from 10 V to 20 V. In addition, the modulatory mechanisms of the absorption performance are investigated. The tunable RL is attributed to variations in the reflection, transmission and absorption of the metasurface and to the presence of multiple reflection mechanisms, which are essentially related to the electromagnetic coupling effect on the metasurface. This work lays the foundation for the preparation of wave-absorbing materials applicable to special scenarios and provides guidance for the modulation of the absorptive properties of metamaterials.

Journal of Physics D Applied PhysicsVol. 58(10)
Lanzhou University (CN)
Natural Science Foundation of Gansu Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 2%
Advanced Antenna and Metasurface Technologies
11.69
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.