DataVXAdvanced Optical MaterialsPaper
journal article·2022-07

Deep Neural Network with Data Cropping Algorithm for Absorptive Frequency‐Selective Transmission Metasurface

Jiayi Wang, Rui Xi, Tong Cai, Huan Lu, Rongrong Zhu, Bin Zheng, Hongsheng Chen

Advanced Optical Materials· Volume 10· Issue 13
Publisher page
Source abstract

Abstract

Abstract Deep neural networks (DNNs) are widely used in designing a metasurface; however, data acquisition from simulations is expensive in terms of time and effort. Inspired by image cropping, a data cropping algorithm is proposed that can significantly reduce the simulation time required in the DNN pre‐training process. The algorithm crops the simulated data and adds random data to augment the amount of the dataset. By applying the proposed target‐driven DNN, an absorptive frequency‐selective transmission (AFST) metasurface structure with a low profile and a broad transmission band is designed. A transmission band from 7.5 to 14 GHz and an absorption rate as large as 0.75 beyond the transmission band are observed. The proposed method provides an efficient strategy to design metasurfaces and a fast solution to the electromagnetic inverse design problem.
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Research context

OpenAlex topics: Metamaterials and Metasurfaces Applications · Advanced Antenna and Metasurface Technologies · Antenna Design and Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU‐Hangzhou Global Scientific and Technological Innovation Center Zhejiang University Hangzhou 310027 China

International Joint Innovation Center Key Lab. of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang The Electromagnetics Academy at Zhejiang University Zhejiang University Haining 314400 China

Jinhua Institute of Zhejiang University Zhejiang University Jinhua 321099 China

School of Information and Electrical Engineering Zhejiang University City College Hangzhou 310015 China

Funding

National Natural Science Foundation of China · Natural Science Foundation of Zhejiang Province · China Postdoctoral Science Foundation · Fundamental Research Funds for the Central Universities

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