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Intelligent Metasurfaces and Metamaterials: From Computational Design to Dynamic Absorption

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

Deadline for manuscript submissions: 20 May 2026 | Viewed by 501

Special Issue Editors

School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
Interests: reconfigurable intelligent metasurface/metamaterials; dynamic electromagnetic absorber; frequency selective surface; machine learning
School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
Interests: intelligent design; reconfigurable materials; artificial intelligence

Special Issue Information

Dear Colleagues,

Recent research in intelligent metasurfaces and metamaterials has shifted from static designs to dynamically tunable systems capable of real-time electromagnetic control. This evolution is largely driven by advances in computational modeling, including machine learning and optimization algorithms, which enable the inverse design of complex unit cells with tailored absorption properties. The integration of active elements—such as vanadium dioxide (VO2), graphene, PIN diodes, and micro-electromechanical systems (MEMS)—has facilitated the development of reconfigurable metasurfaces that adapt to varying frequencies and incident angles.

These materials are increasingly applied in radar stealth, energy-efficient sensors, and next-generation wireless communications, where dynamic absorption minimizes interference and enhances signal integrity. Looking forward, the convergence of AI-aided design and programmable materials (e.g., phase-change and liquid-crystal-based meta-atoms) promises autonomous metamaterials that self-optimize in response to environmental changes. Future directions also include multi-physics metasurfaces that jointly control electromagnetic, thermal, and acoustic waves, opening new possibilities for multifunctional devices in aerospace, telecommunications, and energy harvesting.

We sincerely invite you to contribute to our Special Issue. Submissions are welcome in various forms, including but not limited to original research articles, reviews, and communications.

Dr. Yun He
Dr. Xun Ye
Guest Editors

Manuscript Submission Information

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Keywords

  • intelligent metasurfaces/metamaterials
  • dynamically tunable
  • reconfigurable metasurfaces
  • AI-aided design
  • multi-physics metasurfaces

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Published Papers (1 paper)

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Research

13 pages, 3515 KB  
Article
A Dual-Layer Frequency Selective Surfaces with Tunable Transmission and Fixed Absorption Bands
by Zhiming Zhang, Qingyang Wang, Qiyuan Wang, Pei Liu, Yun He and Mingyu Li
Materials 2025, 18(18), 4414; https://doi.org/10.3390/ma18184414 - 22 Sep 2025
Viewed by 417
Abstract
This paper presents dual-layer frequency selective surfaces (FSSs) with frequency division control function through an integrated tunable transmission window at a lower frequency and an absorption performance at a higher frequency. The bottom frequency selective surface (FSS) layer, configured as a bandpass structure, [...] Read more.
This paper presents dual-layer frequency selective surfaces (FSSs) with frequency division control function through an integrated tunable transmission window at a lower frequency and an absorption performance at a higher frequency. The bottom frequency selective surface (FSS) layer, configured as a bandpass structure, incorporates a gradient gap square-ring element loaded with varactor diodes. This configuration enables dynamic tuning of the L-band transmission window from 1.26 GHz to 1.9 GHz via varactor capacitance modulation. Simultaneously, the top FSS layer utilizes a square-ring-cross-slot topology. Leveraging the strong reflection characteristic of the bottom FSS at higher frequencies in conjunction with dielectric loss mechanisms, the structure achieves absorption performance within the 5.56 GHz to 5.72 GHz band. Measurement results indicate insertion loss at operational frequencies within the transmission window remains below 1.41 dB, while the absorption peak reaches approximately −30 dB. Close agreement between simulated and measured results validates the proposed design. Full article
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