Research Progress of Terahertz Smart Metamaterials

被引：0
作者：
Ge H.-Y. [1 ,2 ,3 ]
Ji X.-D. [1 ,2 ,3 ]
Jiang Y.-Y. [1 ,2 ,4 ]
Li L. [1 ,2 ,3 ]
Wang F. [1 ,2 ,3 ]
Jia Z.-Y. [1 ,2 ,3 ]
Zhang Y. [1 ,2 ,3 ]
机构：
[1] Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Henan, Zhengzhou
[2] Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Henan, Zhengzhou
[3] College of Information Science and Engineering, Henan University of Technology, Henan, Zhengzhou
[4] School of Artificial Intelligence and Big Data, Henan University of Technology, Henan, Zhengzhou
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2023年 / 51卷 / 10期
基金：
中国国家自然科学基金;
关键词：
coding; deep learning; intelligence; metamaterials; neural network; terahertz;
D O I：
10.12263/DZXB.20220923
中图分类号：
学科分类号：
摘要：
Metamaterials, having important theoretical research and application value in terahertz band, are artificial electromagnetic materials with special properties, which can regulate the frequency, amplitude, phase and polarization of electromagnetic waves. Due to the complexity of design process of metamaterials and the limitation of simulation time, the design of metamaterials is always involved in great challenges. In view of the fact that terahertz metamaterial devices have made certain achievements in biomedicine, broadband communication, security screening and other fields, this paper firstly describes the research progress and problems existing in the design process of terahertz metamaterial devices in traditional design methods, and sums up in detail the research results of encoded metamaterials, especially encoded hypersurfaces and programmable hypersurfaces. Additionally, the application of deep learning algorithms in THz (TeraHertz) metamaterial structure design is summarized. Finally, the challenges and expanding research directions of intelligent method in THz metamaterial structure design are discussed. This research not only provides a reference for people to fully grasp the simple, fast and intelligent design methods, but also puts forward some novel ideas for the development and application of intelligent design methods in terahertz metamaterials. © 2023 Chinese Institute of Electronics. All rights reserved.
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收藏
页码：2664 / 2679
页数：15
相关论文
共 92 条
[1]  
SHELBY R A, SMITH D R, SCHULTZ S., Experimental verification of a negative index of refraction, Science, 292, 5514, pp. 77-79, (2001)
[2]  
PENDRY J B, HOLDEN A J, ROBBINS D J, Et al., Magnetism from conductors and enhanced nonlinear phenomena, IEEE Transactions on Microwave Theory and Techniques, 47, 11, pp. 2075-2084, (1999)
[3]  
POWELL D A, SHADRIVOV I V, KIVSHAR Y S., Cut-wire-pair structures as two-dimensional magnetic metamaterials, Optics Express, 16, 19, (2008)
[4]  
PENDRY J B, SMITH D R., Reversing light with negative refraction, Physics Today, 57, 6, pp. 37-43, (2004)
[5]  
SMITH D R, PADILLA W J, VIER D C, Et al., Composite medium with simultaneously negative permeability and permittivity, Physical Review Letters, 84, 18, pp. 4184-4187, (2000)
[6]  
YAO J Q, CHI N, YANG P F, Et al., Study and outlook of terahertz communication technology, Chinese Journal of Lasers, 36, 9, pp. 2213-2233, (2009)
[7]  
ZHANG Z W, ZHAO Y J, MIAO Y X, Et al., Terahertz nondestructive testing imaging technology based on linear frequency modulation mechanism, Acta Optica Sinica, 42, 4, pp. 83-93, (2022)
[8]  
ZHONG S C., Progress in terahertz nondestructive testing: A review, Frontiers of Mechanical Engineering, 14, 3, pp. 273-281, (2019)
[9]  
XIE S, LI H R, LI L X, Et al., Survey of terahertz communication technology, Journal on Communications, 41, 5, pp. 168-186, (2020)
[10]  
BODET D, HALL J, SEN P, Et al., Data signals for Terahertz communications research, Computer Networks, 203, (2022)
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