Chinese Journal of Quantum Electronics, Volume. 42, Issue 3, 369(2025)
Optimized design of multi⁃band terahertz electromagnetically induced transparency⁃like metamaterial sensor based on genetic algorithm
Fig. 1. Geometry of the EIT metamaterial sensor. (a) Metamaterial sensor array; (b) Schematic of the sensor unit;(c) Transmission spectrum of the sensor
Fig. 2. Flowchart of genetic algorithm (GA) for parameter optimization
Fig. 3. Transmission amplitude curves for three substructures. (a) UR; (b) MB; (c) CL
Fig. 4. Diagram of electric field distribution. (a) At four trough frequencies; (b) At three transmission peak frequencies
Fig. 5. Diagram of current distribution. (a) At four trough frequencies; (b) At three peak transmission frequencies
Fig. 6. Effect of analyte thickness
Fig. 8. Effect of etch depth on sensing performance. (a) Transmission curves of the metamaterials under different etching depths;(b) Sensitivity variation of the sensor under different etching depths
Fig. 9. Electric field at f3 frequency under different etching depths
Fig. 10. Transmission curves of the sensor under pesticide coverage. (a) Un-etched; (b) Etched
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Hongyi GE, Zhiyuan JIA, Yuying JIANG, Yuan ZHANG, Xuyang WU, Xiaodi JI, Zhenyu SUN, Guangyuan CUI. Optimized design of multi⁃band terahertz electromagnetically induced transparency⁃like metamaterial sensor based on genetic algorithm[J]. Chinese Journal of Quantum Electronics, 2025, 42(3): 369
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Received: Dec. 22, 2023
Accepted: --
Published Online: Jun. 11, 2025
The Author Email: Yuan ZHANG (zhangyuan@haut.edu.cn)