Optimization Design of High-Q Terahertz Metamaterial Sensor Based on QPSO Algorithm
ID:113 View Protection:ATTENDEE Updated Time:2024-10-31 19:24:34 Hits:393 Poster Presentation

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Abstract
This paper designs a terahertz metamaterial sensor based on a three-metal strip structure, which can generate a fourth-order resonance with a high quality factor. Different from the traditional method of manually adjusting structural parameters to obtain the maximum quality factor, this paper utilizes the quantum-behaved particle swarm optimization (QPSO) to optimize structural parameters of the metamaterial sensor, significantly enhancing the efficiency of the optimization process. The maximum quality factor of the fourth-order resonance optimized by QPSO is as high as 58, while the peak height is greater than 0.8. When an analyte layer with a thickness of 20 μm is covered onto the sensor surface, the sensing sensitivity reaches 198 GHz/RIU. The sensor can be used in high-sensitivity detection, trace biological sample detection and other fields.
Keywords
High quality factor, metamaterial sensor, quantum-behaved particle swarm optimization, terahertz
Speaker
Qitai Sun
Master Huazhong University of Science and Technology;State Key Laboratory of Advanced Electromagnetic Engineering and Technology;Wuhan National High Magnetic Field Center

Submission Author
Qitai Sun Huazhong University of Science and Technology;State Key Laboratory of Advanced Electromagnetic Engineering and Technology;Wuhan National High Magnetic Field Center
Yanqi Hu Huazhong University of Science and Technology
Xiansong Chen Huazhong University of Science and Technology
Bingbao Wang Huazhong University of Science and Technology
永前 熊 Huazhong University of science and Technology
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    Nov 06

    2024

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    Nov 08

    2024

  • Sep 15 2024

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