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Liu ZX, Jin J, Chen LJ, Fu JP, Lin H. Metamaterial absorber optimization method based on an artificial neural network surrogate. OPTICS EXPRESS 2023; 31:35594-35603. [PMID: 38017726 DOI: 10.1364/oe.503010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 09/26/2023] [Indexed: 11/30/2023]
Abstract
Finding the optimal design parameters for the target EM response of a metamaterial absorber is still a challenging task even if the layout of the absorber has been determined. To effectively address this issue, we introduce the idea of surrogate-based optimization into the area of metamaterial absorber design. This paper proposes a surrogate based optimization method combining artificial neural network (ANN) and trust region algorithm for metamaterial absorbers. Each optimization iteration utilizes the optimal solution from the previous iteration and the sample points surrounding it as the training dataset to build an effective ANN surrogate model. To improve the convergence of the optimization method for metamaterial absorbers based on ANN surrogate model, we incorporate a trust region algorithm. The proposed method employs a simple forward neural network architecture and requires less training data, leading to a quick convergence towards the target solution after only a few iterations. Compared to the three commonly used alternative methods, the proposed method can optimize geometric and material parameters more efficiently in the same time. The validity of the proposed method is demonstrated by two examples of electromagnetic optimizations of metamaterial absorbers.
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Han JS, Park H, Jeong JY, Jung J, Gwak EJ, Jeon EC, Je TJ, Shin J, Choi DS. Ultrawide meta-film replication process for the mass production of a flexible microwave absorbing meta-surface. OPTICS EXPRESS 2022; 30:29760-29771. [PMID: 36299143 DOI: 10.1364/oe.465032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 07/09/2022] [Indexed: 06/16/2023]
Abstract
The manufacturing process for an ultrawide flexible microwave absorbing meta-surface was developed and optimized experimentally. The developed replication process consists of four main steps to demonstrate double-square loop array meta-structures: (1) mechanical machining of a master mold, (2) soft mold replication and patterned film imprinting, (3) conductive ink blade filling, (4) lamination of a base flexible film to meta sheet. Based on experimental optimization of the individual steps, the manufacturing process for a large-area flexible meta-film was established successfully. The feasibility of a developed process has been demonstrated with a 200 mm × 500 mm fabricated meta-film with a focus on microwave absorbing uniformity in the X-band region.
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Li J, Zhou Y, Peng F, Chen D, Xian C, Kuang P, Ma L, Wei X, Huang Y, Wen G. High-FOM Temperature Sensing Based on Hg-EIT-Like Liquid Metamaterial Unit. NANOMATERIALS 2022; 12:nano12091395. [PMID: 35564104 PMCID: PMC9103140 DOI: 10.3390/nano12091395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/16/2022] [Accepted: 04/17/2022] [Indexed: 12/04/2022]
Abstract
High-performance temperature sensing is a key technique in modern Internet of Things. However, it is hard to attain a high precision while achieving a compact size for wireless sensing. Recently, metamaterials have been proposed to design a microwave, wireless temperature sensor, but precision is still an unsolved problem. By combining the high-quality factor (Q-factor) feature of a EIT-like metamaterial unit and the large temperature-sensing sensitivity performance of liquid metals, this paper designs and experimentally investigates an Hg-EIT-like metamaterial unit block for high figure-of-merit (FOM) temperature-sensing applications. A measured FOM of about 0.68 is realized, which is larger than most of the reported metamaterial-inspired temperature sensors.
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Affiliation(s)
- Jian Li
- School of Information and Communication Engineering, Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT, University of Electronic Science and Technology of China, Chengdu 611731, China; (J.L.); (Y.Z.); (F.P.); (D.C.); (C.X.); (P.K.); (L.M.); (G.W.)
| | - Yuedan Zhou
- School of Information and Communication Engineering, Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT, University of Electronic Science and Technology of China, Chengdu 611731, China; (J.L.); (Y.Z.); (F.P.); (D.C.); (C.X.); (P.K.); (L.M.); (G.W.)
| | - Fengwei Peng
- School of Information and Communication Engineering, Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT, University of Electronic Science and Technology of China, Chengdu 611731, China; (J.L.); (Y.Z.); (F.P.); (D.C.); (C.X.); (P.K.); (L.M.); (G.W.)
| | - Dexu Chen
- School of Information and Communication Engineering, Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT, University of Electronic Science and Technology of China, Chengdu 611731, China; (J.L.); (Y.Z.); (F.P.); (D.C.); (C.X.); (P.K.); (L.M.); (G.W.)
| | - Chengwei Xian
- School of Information and Communication Engineering, Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT, University of Electronic Science and Technology of China, Chengdu 611731, China; (J.L.); (Y.Z.); (F.P.); (D.C.); (C.X.); (P.K.); (L.M.); (G.W.)
| | - Pengjun Kuang
- School of Information and Communication Engineering, Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT, University of Electronic Science and Technology of China, Chengdu 611731, China; (J.L.); (Y.Z.); (F.P.); (D.C.); (C.X.); (P.K.); (L.M.); (G.W.)
| | - Liang Ma
- School of Information and Communication Engineering, Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT, University of Electronic Science and Technology of China, Chengdu 611731, China; (J.L.); (Y.Z.); (F.P.); (D.C.); (C.X.); (P.K.); (L.M.); (G.W.)
| | - Xueming Wei
- Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology, Guilin 541004, China;
| | - Yongjun Huang
- School of Information and Communication Engineering, Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT, University of Electronic Science and Technology of China, Chengdu 611731, China; (J.L.); (Y.Z.); (F.P.); (D.C.); (C.X.); (P.K.); (L.M.); (G.W.)
- Correspondence:
| | - Guangjun Wen
- School of Information and Communication Engineering, Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoT, University of Electronic Science and Technology of China, Chengdu 611731, China; (J.L.); (Y.Z.); (F.P.); (D.C.); (C.X.); (P.K.); (L.M.); (G.W.)
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