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Metamaterials and Metasurfaces: From Materials to Applications
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Metamaterials and Metasurfaces: From Materials to Applications

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Smart Materials".

Deadline for manuscript submissions: 20 October 2025 | Viewed by 2172

Special Issue Editors

Dr. Zhangjie Luo

E-Mail Website
Guest Editor
1. State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, China
2. Institute of Electromagnetic Space, Southeast University, Nanjing 210096, China
Interests: metamaterials; metasurfaces; artificial electromagnetic metamaterials; nonlinear metasurfaces; impedance surfaces; microstrip antennas and arrays
Dr. Ke Chen

E-Mail Website
Guest Editor
School of Electronics Science and Engineering, Nanjing University, Nanjing 210023, China
Interests: metamaterials; metasurfaces; electromagnetics; microwave

Special Issue Information

Dear Colleagues,

Since the beginning of this century, metamaterials have been under the spotlight in the electromagnetic (EM) community owing to their unique EM properties, which offer powerful capabilities in controlling EM waves. Today, metasurfaces, the 2D counterparts of metamaterials, are opening up a new avenue toward new theories, novel devices, and various intriguing applications, from microwaves to optical regions, offering the advantages of a low profile, high integration, and easy fabrication.

We are pleased to invite you to share your recent investigations into metamaterials and metasurfaces, including cutting-edge theoretical findings, new functions, system applications, and other related topics. This Special Issue will serve as a forum for sharing the latest and most cutting-edge advancements with the wider scientific community.

For this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Multifunctional metamaterials/metasurfaces;
  • Reconfigurable intelligence metasurfaces (RISs);
  • Smart metamaterials/metasurfaces;
  • Topological metamaterials/metasurfaces;
  • Time-varying metamaterials/metasurfaces;
  • Nonreciprocal metamaterials/metasurfaces;
  • Energy-harvesting metamaterials/metasurfaces;
  • Low-RCS metamaterials/metasurfaces;
  • Nonlinear metamaterials/metasurfaces;
  • Energy-selective metamaterials/metasurfaces;
  • Terahertz metamaterials/metasurfaces;
  • Optical metamaterials/metasurfaces.

We look forward to receiving your contributions.

Dr. Zhangjie Luo
Dr. Ke Chen
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • multifunctional metamaterials/metasurfaces
  • reconfigurable intelligence metasurfaces (RISs)
  • smart metamaterials/metasurfaces
  • topological metamaterials/metasurfaces
  • time-varying metamaterials/metasurfaces
  • nonreciprocal metamaterials/metasurfaces
  • energy-harvesting metamaterials/metasurfaces
  • low-RCS metamaterials/metasurfaces
  • nonlinear metamaterials/metasurfaces
  • energy-selective metamaterials/metasurfaces
  • terahertz metamaterials/metasurfaces
  • optical metamaterials/metasurfaces

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Published Papers (4 papers)

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Research

14 pages, 6727 KiB  
Communication
Thermally Tunable Bi-Functional Metasurface Based on InSb for Terahertz Applications
by Rafael Charca-Benavente, Rupesh Kumar, Ruth Rubio-Noriega and Mark Clemente-Arenas
Materials 2025, 18(12), 2847; https://doi.org/10.3390/ma18122847 - 17 Jun 2025
Viewed by 206
Abstract
In this work, we propose and analyze a thermally tunable metasurface based on indium antimonide (InSb), designed to operate in the terahertz (THz) frequency range. The metasurface exhibits dual functionalities: single-band perfect absorption and efficient polarization conversion, enabled by the temperature-dependent permittivity of [...] Read more.
In this work, we propose and analyze a thermally tunable metasurface based on indium antimonide (InSb), designed to operate in the terahertz (THz) frequency range. The metasurface exhibits dual functionalities: single-band perfect absorption and efficient polarization conversion, enabled by the temperature-dependent permittivity of InSb. At approximately 280 K, InSb transitions into a metallic state, enabling the metasurface to achieve near-unity absorptance (100%) at 0.408 THz under normal incidence, independent of polarization. Conversely, when InSb behaves as a dielectric at 200 K, the metasurface operates as an efficient polarization converter. By exploiting structural anisotropy, it achieves a polarization conversion ratio exceeding 85% over the frequency range from 0.56 to 0.93 THz, while maintaining stable performance for incident angles up to 45°. Parametric analyses show that the resonance frequency and absorption intensity can be effectively tuned by varying the InSb square size and the silica (SiO2) layer thickness, achieving maximum absorptance at a SiO2 thickness of 16 μm. The proposed tunable metasurface offers significant potential for applications in THz sensing, imaging, filtering, and wavefront engineering. Full article
(This article belongs to the Special Issue Metamaterials and Metasurfaces: From Materials to Applications)
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12 pages, 3691 KiB  
Article
Dual-Band Resonant Acoustic Metasurfaces from Nested Negative Effective Parameter Unit
by Limei Hao, Dongan Liu, Xiaole Yan, Qingning Yang, Jifeng Guo, Xingchen Tian, You Xie, Shaofang Pang, Tao Zhang and Zhi Chen
Materials 2025, 18(12), 2811; https://doi.org/10.3390/ma18122811 - 15 Jun 2025
Viewed by 325
Abstract
Phase gradient acoustic metasurfaces often exhibit pronounced structural dependence in imaging applications, with significant performance variations arising from differences in the negative effective parameters of resonant unit cells. However, the relationship between imaging performance and negative effective parameters near resonance frequencies—particularly in multi-band [...] Read more.
Phase gradient acoustic metasurfaces often exhibit pronounced structural dependence in imaging applications, with significant performance variations arising from differences in the negative effective parameters of resonant unit cells. However, the relationship between imaging performance and negative effective parameters near resonance frequencies—particularly in multi-band nested structures—remains insufficiently studied. To address this knowledge gap, this work combines effective parameter theory with local resonance characteristics to construct a comparative model investigating how negative effective mass density and modulus influence the imaging quality of single-band and dual-band nested metasurfaces in series and parallel configurations. The results demonstrate that (1) for single-band structures, imaging performance positively correlates with the absolute value of negative effective parameters; (2) in dual-band configurations, smaller inter-band differences in negative parameter values yield more stable imaging; and (3) series-type nested structures exhibit superior reflection imaging performance compared to parallel-type structures, though with marginally reduced design flexibility. This study elucidates the fundamental mechanisms through which negative parameters govern acoustic metasurface imaging and provides theoretical foundations for designing multi-band acoustic devices. Full article
(This article belongs to the Special Issue Metamaterials and Metasurfaces: From Materials to Applications)
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16 pages, 4519 KiB  
Article
A High-Gain and Dual-Band Compact Metasurface Antenna for Wi-Fi/WLAN Applications
by Yunhao Zhou and Yilin Zheng
Materials 2025, 18(11), 2538; https://doi.org/10.3390/ma18112538 - 28 May 2025
Viewed by 447
Abstract
With the rapid development of Wi-Fi 6/6E and dual-band wireless systems, there is an increasing demand for compact antennas with balanced high-gain performance across both 2.4 GHz and 5 GHz bands. However, most existing dual-band metasurface antennas face challenges in uneven gain distribution [...] Read more.
With the rapid development of Wi-Fi 6/6E and dual-band wireless systems, there is an increasing demand for compact antennas with balanced high-gain performance across both 2.4 GHz and 5 GHz bands. However, most existing dual-band metasurface antennas face challenges in uneven gain distribution between lower/higher-frequency bands and structural miniaturization. This paper proposes a high-gain dual-band metasurface antenna based on an artificial magnetic conductor (AMC) array, which has a significant advantage in miniaturization and improving antenna performance. Two types of dual-band AMC structures are applied to design the metasurface antenna. The optimal antenna with dual-slot AMC array operates in the 2.42–2.48 GHz and 5.16–5.53 GHz frequency bands, with a 25% size reduction compared to the reference dual-band U-slot antenna. Meanwhile, high gains of 7.65 dBi and 8 dBi are achieved at 2.4 GHz and 5 GHz frequency bands, respectively. Experimental results verify stable radiation gains across the operation bands, where the total efficiency remains above 90%, agreeing well with the simulation results. This research provides an effective strategy for high-gain and dual-band metasurface antennas, offering a promising solution for integrated modern wireless systems such as Wi-Fi 6, Bluetooth, and MIMO technology. Full article
(This article belongs to the Special Issue Metamaterials and Metasurfaces: From Materials to Applications)
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18 pages, 7417 KiB  
Article
An Efficient Optimization Method for Large-Solution Space Electromagnetic Automatic Design
by Lingyan He, Fengling Peng and Xing Chen
Materials 2025, 18(5), 1159; https://doi.org/10.3390/ma18051159 - 5 Mar 2025
Viewed by 654
Abstract
In the field of electromagnetic design, it is sometimes necessary to search for the optimal design solution (i.e., the optimal solution) within a large solution space to complete the optimization. However, traditional optimization methods are not only slow in searching for the solution [...] Read more.
In the field of electromagnetic design, it is sometimes necessary to search for the optimal design solution (i.e., the optimal solution) within a large solution space to complete the optimization. However, traditional optimization methods are not only slow in searching for the solution space but are also prone to becoming trapped in local optima, leading to optimization failure. This paper proposes a dual-population genetic algorithm to quickly find the optimal solution for electromagnetic optimization problems in large solution spaces. The method involves two populations: the first population uses the powerful dynamic decision-making ability of reinforcement learning to adjust the crossover probability, making the optimization process more stable and enhancing the global optimization capability of the algorithm. The second population accelerates the convergence speed of the algorithm by employing a “leader dominance” mechanism, allowing the population to quickly approach the optimal solution. The two populations are integrated through an immigration operator, improving optimization efficiency. The effectiveness of the proposed method is demonstrated through the optimization design of an electromagnetic metasurface material. Furthermore, the method designed in this paper is not limited to the electromagnetic field and has practical value in other engineering optimization areas, such as vehicle routing optimization, energy system optimization, and fluid dynamics optimization, etc. Full article
(This article belongs to the Special Issue Metamaterials and Metasurfaces: From Materials to Applications)
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