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Design of an ultra-broadband terahertz absorber based on a patterned graphene metasurface with machine learning

Zhipeng Ding, Wei Su, Yinlong Luo, Lipengan Ye, Hong Wu, Hongbing Yao

2023Journal of Materials Chemistry C45 citationsDOI

Abstract

Utilizes machine learning to propose an absorption bandwidth and structural parameters prediction approach for the design of patterned graphene metasurface absorber, which provides a new direction for the precision design of optical devices.

Topics & Concepts

Materials scienceBroadbandGrapheneTerahertz radiationBandwidth (computing)OptoelectronicsAbsorption (acoustics)NanotechnologyComputer scienceTelecommunicationsComposite materialMetamaterials and Metasurfaces ApplicationsPlasmonic and Surface Plasmon ResearchAdvanced Antenna and Metasurface Technologies
Design of an ultra-broadband terahertz absorber based on a patterned graphene metasurface with machine learning | Litcius