量子电子学报2025，Vol.42Issue(3)：369-380,12.DOI:10.3969/j.issn.1007-5461.2025.03.009
基于遗传算法的多频段太赫兹类电磁诱导透明超材料传感器的优化设计
Optimized design of multi-band terahertz electromagnetically induced transparency-like metamaterial sensor based on genetic algorithm
摘要
Abstract
Electromagnetically induced transparency(EIT)-like effects in metamaterials provide a unique approach to enhance the light-matter interactions,and demonstrates great potential in high-sensitivity sensing.However,the conventional optimization methods for terahertz metamaterials rely heavily on the researchers'experiences,so to achieve rapid optimization and high sensitivity across multiple frequency bands remains challenging.To address these challenges,a metamaterial sensor with EIT-like effect is designed and optimized in this work using genetic algorithm,and automatic optimization of parameters is achieved by combining three-dimensional electromagnetic field simulation calculations with genetic algorithms.The results demonstrate that utilizing genetic algorithm to optimize the structural parameters of the sensor can reduce a large number of repetitive manual operations and significantly improve the design efficiency.The designed sensor generates three EIT-like transparent windows in the 0.3-1.5 THz frequency range,and the coupling of the excited electric field with the analyte to be measured is enhanced by means of substrate etching,which significantly improves the sensitivity of the sensor.In addition,in order to verify the potential of the designed EIT metamaterial as a biosensor,simulation-based sensing experiments are conducted for detecting pesticide analytes.The results show that the sensor is able to distinguish substances with different refractive indexes by resonance frequency shift and has the advantage of multi-point feature matching,which has a promising development prospect in the field of sensing and detection.关键词
光电子学/太赫兹超材料/类电磁诱导透明/多频段/高灵敏度Key words
optoelectronics/terahertz metamaterial/likely electromagnetically induced transparency/multi-frequency bands/high sensitivity分类
电子信息工程引用本文复制引用
葛宏义,贾志远,蒋玉英,张元,吴旭阳,季晓迪,孙振雨,崔光远..基于遗传算法的多频段太赫兹类电磁诱导透明超材料传感器的优化设计[J].量子电子学报,2025,42(3):369-380,12.基金项目
国家自然科学基金(62271191,61975053),河南省自然科学基金(222300420040),河南省重点科技计划项目(222102110246,222103810072),河南省高校科技创新人才计划项目(23HASTIT024,22HASTIT017) （62271191,61975053）
