Customized Inverse Design of Metamaterial Absorber Based on Target-Driven Deep Learning Method

Customized Inverse Design of Metamaterial Absorber Based on Target-Driven Deep Learning Method

Metamaterials (MMs) have already achieved wide applications in academia and industry. The traditional design approach for MMs highly relies on full-wave numerical simulations and trial-and-error methods. It is time-consuming and laborious to obtain the optimal design parameters. Recently, extensive...

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Bibliographic Details
Main Authors: Junjie Hou, Hai Lin, Weilin Xu, Yuze Tian, You Wang, Xintong Shi, Feng Deng, Lijie Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Metamaterials
absorber
inverse design
deep learning
neural network
resistive films
Online Access:https://ieeexplore.ieee.org/document/9262867/

Internet

https://ieeexplore.ieee.org/document/9262867/

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