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作 者:王玉蓉 屈薇薇[1,2] 李桂琳 邓琥[1,2] 尚丽平[1,2] WANG Yurong;QU Weiwei;LI Guilin;DENG Hu;SHANG Liping(School of Information Engineering,Southwest University of Science and Technology,Mianyang 621010,China;Tianfu Institute of Research and Innovation,Southwest University of Science and Technology,Chengdu 610299,China)
机构地区:[1]西南科技大学信息工程学院,绵阳621010 [2]西南科技大学四川天府新区创新研究院,成都610299
出 处:《物理学报》2025年第5期222-231,共10页Acta Physica Sinica
基 金:四川省科技计划(批准号:2023YFG0224);四川省科技创新苗子工程培育(批准号:MZGC20240122)资助的课题.
摘 要:传统太赫兹超材料吸收器设计需多次试错调整,十分依赖设计人员的经验,设计时间成本高、效率低,而目前基于机器学习的设计方法或需要准备大量样本,或无法并行优化多个目标.为解决这一问题,本文提出一种基于多目标粒子群的几何参数优化方法,以吸收率和品质因子为设计目标寻找符合要求的结构参数和介质厚度,并以一个由四个角码型金属组成的中心对称结构的吸收器为例进行优化设计.仿真结果表明,多目标粒子群所快速获取的结构几何参数可以同时满足高吸收率和高品质因子两个设计目标,明显优于粒子群算法.通过该方法设计的吸收器在1.613 THz的吸收率大于99%,品质因子为319.72,其传感灵敏度可达264.5 GHz/RIU.相比于传统设计方法,此方法设计出的超材料吸收器可以实现高吸收率、高品质因子和高灵敏度,为超材料吸收器的设计提供了新的思路,具有广阔的应用前景.Metamaterials can freely control terahertz waves by designing the geometric shape and direction of the unit structure to obtain the desired electromagnetic characteristics,so they have been widely used in sensing,communication and radar stealth technology.The traditional design of terahertz metamaterial absorber usually requires continuous structural adjustment and a large number of simulations to meet the expected requirements.The process largely relies on the experience of researchers,and the physical modeling and simulation solution process is time-consuming and inefficient,greatly hindering the development of metamaterial absorbers.Therefore,due to its powerful learning ability,deep learning has been used to predict the structural parameters or spectra of metamaterial absorbers.However,when designing a new structure,it is necessary to prepare a large number of training samples again,which is both time-consuming and not universal.Particle swarm optimization algorithm can quickly converge to the optimal solution through the sharing and cooperation of individual information in the group,with no need for prior preparation.Therefore,a method of fast designing terahertz metamaterial absorber is proposed based on multi-objective particle swarm optimization algorithm in this work.Taking a new center symmetric absorber structure composed of four Ls for example,the structure parameters are optimized to achieve rapid and automatic design of metamaterial absorber.The multi-objective particle swarm optimization algorithm takes the absorptivity and quality factor as independent targets to design the structure parameters of the absorber,realizing the dual-objective optimization of the absorber,and overcoming the shortcoming of the multi-objective conflicts that cannot be solved by PSO.When used for refractive index sensing,the optimally-designed absorber achieves perfect absorption at 1.613 THz with a quality factor of 319.72 and a sensing sensitivity of 264.5 GHz/RIU.In addition,the reasons of absorption peaks are analyzed
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