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  • Letter

Ultrabroadband transparent metamaterial absorbers designed by anomalous Brewster effect and gradient impedance matching optimized with deep neural network

Yongxin Jing1, Qiliang Teng1, Jie Luo2,*, Chunyu Huang1,†, Zhouzhou Sun3,‡, and Yun Lai1,§

  • 1National Laboratory of Solid State Microstructures, School of Physics, Collaborative Innovation Center of Advanced Microstructures, and Jiangsu Physical Science Research Center, Nanjing University, Nanjing 210093, China
  • 2School of Physical Science and Technology & Jiangsu Key Laboratory of Frontier Material Physics and Devices, Soochow University, Suzhou 215006, China
  • 3School of Computer, South China Business College, Guangdong University of Foreign Studies, Guangzhou 510545, China

  • *Contact author: luojie@suda.edu.cn
  • †Contact author: huangchunyu@nju.edu.cn
  • ‡Contact author: 201069@gwng.edu.cn
  • §Contact author: laiyun@nju.edu.cn

Phys. Rev. Applied 23, L051002 – Published 19 May, 2025

DOI: https://doi.org/10.1103/PhysRevApplied.23.L051002

Abstract

Transparent microwave absorbers are important in many scenarios. In this work, we theoretically and experimentally demonstrate a class of transparent metamaterial absorbers as a lattice of wedgelike or pyramidlike multilayered indium tin oxide films embedded in a transparent dielectric slab, exhibiting high absorption within two broad frequency bands from 2.5 to 17.7 GHz and from 21.1 to 40.0 GHz. This high-efficiency absorption originates in the anomalous Brewster effect and gradient impedance matching. Moreover, through optimization with deep learning, the absorption bandwidth (with average absorption >93%) can be further extended to cover the whole regime from 1.7 to 40.0 GHz. The designed transparent metamaterials with broadband high-efficiency microwave absorption promise a wide range of applications such as special windows for electromagnetic shielding and stealth.

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