Optimization design of autofocusing metasurface for ultrasound wave application

作     者：Zhaoxi Li Shenghui Yang Mengqing Zhou Chenxue Hou Dongdong Chen Chunlong Fei Di Li Yi Quan Yintang Yang 

作者机构：School of MicroelectronicsXidian UniversityXi’anShaanxi 710071P.R.China 

出 版 物：《Journal of Advanced Dielectrics》 (先进电介质学报（英文）)

年 卷 期：2024年第14卷第1期

页      面：51-58页

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0702[理学-物理学] 

基　　金：supported by the National Natural Science Foundations of China(Nos.62104177 and 61974110) Shenzhen Science Technology and Fundamental Research and Discipline Layout Project(No.JCYJ20170818153048647) Natural Science Foundations of Shaanxi Province(No.2020JM-205) Shaanxi Provincial Association of Science and Technology Young Talents Support Project(No.20190105) the Fundamental Research Funds for the Central Universities(Nos.XJS211105 and JBF211103). 

主　　题：Autofocusing metasurface ultrasound transducer optimization 

摘      要：In this paper,two optimized autofocusing metasurfaces(AFMs)with different desired focal distances are designed by using particle swarm optimization(PSO)algorithm.Based on the ffnite element simulation software COMSOL Multiphysics,the performance of ultrasound transducer(UT)with AFM at different design parameters in Airy distributions(r0,ω)and the bottom thickness(d)of AFM are simulated and analyzed.Based on the simulation data,the artiffcial neural network model is trained to describe the complex relationship between the design parameters of AFM and the performance parameters of UT.Then,the multiobjective optimization function for AFM is determined according to the desired performance parameters of UT,including focal position,lateral resolution,longitudinal resolution and absolute sound pressure.In order to obtain AFMs with the desired performance,PSO algorithm is adopted to optimize the design parameters of AFM according to the multiobjective optimization function,and two AFMs are optimized and fabricated.The experimental results well agree with the simulation and optimization results,and the optimized AFMs can achieve the desired performance.The fabricated AFM can be easily integrated with UT,which has great potential applications in wave ffeld modulation underwater,acoustic tweezers,biomedical imaging,industrial nondestructive testing and neural regulation.