Achieving Functional Meta‐Devices by Generalized Meta‐Atom Model for Metasurfaces and Genetic Algorithm (Advanced Optical Materials 10/2024)

Meta‐Atom Model for Metasurfaces By pixelating the unit cell of metasurfaces, the machine‐learning‐based meta‐atom model was developed. The model can cover the entire pixel space and simulate any potential meta‐atoms operating at any polarization. In article number 2302255, Rui‐Xin Wu and co‐workers...

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Bibliographic Details
Published inAdvanced optical materials Vol. 12; no. 10
Main Authors Chen, Jian, Ding, Wei, Shi, Yuan‐Cheng, Yao, Zhen‐Xu, Wu, Rui‐Xin
Format Journal Article
LanguageEnglish
Published 04.04.2024
Subjects
absorber
asymmetrical transmission
deep Learning
metasurface
polarization converter
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ISSN2195-1071
2195-1071
DOI10.1002/adom.202470032

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Summary:Meta‐Atom Model for Metasurfaces By pixelating the unit cell of metasurfaces, the machine‐learning‐based meta‐atom model was developed. The model can cover the entire pixel space and simulate any potential meta‐atoms operating at any polarization. In article number 2302255, Rui‐Xin Wu and co‐workers applied the model to design different types of functional meta‐devices, including the reflective and the transmissive ones implemented by one or multiple metasurfaces, and a metasurface with one or more meta‐atoms. The designs were verified through simulations and experiments. The model significantly improves the design efficiency of the meta‐devices.
ISSN:2195-1071
2195-1071
DOI:10.1002/adom.202470032