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Ding Z, Su W, Luo Y, Ye L, Li W, Zhou Y, Zou J, Tang B, Yao H. Metasurface inverse designed by deep learning for quasi-entire terahertz wave absorption. NANOSCALE 2024; 16:1384-1393. [PMID: 38164990 DOI: 10.1039/d3nr04974d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
Ultra-broadband and efficient terahertz (THz) absorption is of paramount importance for the development of high-performance detectors. These detectors find applications in next-generation wireless communications, military radar systems, security detection, medical imaging, and various other domains. In this study, we present an ultra-wideband THz wave metasurface absorber (UTWMA) featuring a composite surface microstructure and a multilayer absorbing material (graphene). This UTWMA demonstrates remarkable capabilities by achieving highly efficient absorption levels, reaching 96.33%, within the 0.5-10 THz frequency range. To enhance the efficiency and precision of the design process, we have incorporated artificial neural networks, which enable rapid and accurate parameter selection. Moreover, we have conducted a comprehensive analysis of the absorption mechanism exhibited by the UTWMA at different frequencies. This analysis combines insights from the electric field distribution and effective medium theory. The findings presented in this paper are expected to catalyze further research in the domain of broadband THz technology, particularly in the context of metasurfaces and related fields. Additionally, this work paves the way for the development of compact, supercontinuous THz photovoltaic or photothermal electrical devices.
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Affiliation(s)
- Zhipeng Ding
- College of Mechanics and Engineering Science, Hohai University, Nanjing, 210098, China.
| | - Wei Su
- College of Mechanics and Engineering Science, Hohai University, Nanjing, 210098, China.
| | - Yinlong Luo
- College of Mechanical and Electrical Engineering, Hohai University, Changzhou, 213200, China
| | - Lipengan Ye
- College of Mechanics and Engineering Science, Hohai University, Nanjing, 210098, China.
| | - Wenlong Li
- College of Mechanics and Engineering Science, Hohai University, Nanjing, 210098, China.
| | - Yuanhang Zhou
- College of Mechanics and Engineering Science, Hohai University, Nanjing, 210098, China.
| | - Jianfei Zou
- College of Mechanics and Engineering Science, Hohai University, Nanjing, 210098, China.
| | - Bin Tang
- School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, China
| | - Hongbing Yao
- College of Mechanics and Engineering Science, Hohai University, Nanjing, 210098, China.
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Zhang Z, Shi H, Wang L, Chen J, Chen X, Yi J, Zhang A, Liu H. Recent Advances in Reconfigurable Metasurfaces: Principle and Applications. NANOMATERIALS (BASEL, SWITZERLAND) 2023; 13:534. [PMID: 36770494 PMCID: PMC9921398 DOI: 10.3390/nano13030534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Revised: 01/18/2023] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
Metasurfaces have shown their great capability to manipulate electromagnetic waves. As a new concept, reconfigurable metasurfaces attract researchers' attention. There are many kinds of reconfigurable components, devices and materials that can be loaded on metasurfaces. When cooperating with reconfigurable structures, dynamic control of the responses of metasurfaces are realized under external excitations, offering new opportunities to manipulate electromagnetic waves dynamically. This review introduces some common methods to design reconfigurable metasurfaces classified by the techniques they use, such as special materials, semiconductor components and mechanical devices. Specifically, this review provides a comparison among all the methods mentioned and discusses their pros and cons. Finally, based on the unsolved problems in the designs and applications, the challenges and possible developments in the future are discussed.
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Affiliation(s)
- Ziyang Zhang
- Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Hongyu Shi
- Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, Xi’an Jiaotong University, Xi’an 710049, China
| | - Luyi Wang
- School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
| | - Juan Chen
- School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
| | - Xiaoming Chen
- School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
| | - Jianjia Yi
- School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
| | - Anxue Zhang
- School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an 710049, China
| | - Haiwen Liu
- Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology, Xi’an Jiaotong University, Xi’an 710049, China
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