Convolutional neural network-assisted design and validation of terahertz metamaterial sensor

Convolutional neural network-assisted design and validation of terahertz metamaterial sensor

This paper proposes a convolutional neural network (CNN)-assisted method for both forward optimization and inverse design of terahertz metamaterial sensors (TMSs), addressing the limitations imposed by reliance on manual trial-and-error processes. A hollow n-shaped TMS based on copper foil was devel...

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Bibliographic Details
Main Authors: Shunrong Chen, Chunyue Zhao, Wei Wang, Songyuan Yang, Chengjiang Zhou
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Materials & Design
Subjects:
Terahertz metamaterial
Convolutional neural network
Sensor optimization
Dual-band resonance
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127525002916
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