materials-logo

Journal Browser

Journal Browser

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 893

Special Issue Editors


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
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

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

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 476
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)
Show Figures

Figure 1

Back to TopTop