An Inverse Design Framework for Isotropic Metasurfaces Based on Representation Learning

An Inverse Design Framework for Isotropic Metasurfaces Based on Representation Learning

A hybrid framework for solving the non-uniqueness problem in the inverse design of isomorphic metasurfaces is proposed. The framework consists of a representation learning (RL) module and a variational autoencoder-particle swarm optimization (VAE-PSO) algorithm module. The RL module is used to reduc...

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Bibliographic Details
Main Authors: Jian Zhang, Jin Yuan, Chuanzhen Li, Bin Li
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Electronics
Subjects:
metasurfaces
representation learning
variational autoencoder
inverse design
Online Access:https://www.mdpi.com/2079-9292/11/12/1844

Internet

https://www.mdpi.com/2079-9292/11/12/1844

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