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Efficient spectrum prediction and inverse design for plasmonic waveguide systems

上传者: 2021-04-06 22:40:34上传 PDF文件 2.01MB 热度 25次
In this paper, we propose a novel approach to achieve spectrum prediction, parameter fitting, inverse design, and performance optimization for the plasmonic waveguide-coupled with cavities structure (PWCCS) based on artificial neural networks (ANNs). The Fano resonance and plasmon-induced transparency effect originated from the PWCCS have been selected as illustrations to verify the effectiveness of ANNs. We use the genetic algorithm to design the network architecture and select the hyperparamet
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