中文版 | English
Title

Deep-Learning Assisted Polarization Holograms

Author
Corresponding AuthorNg, Jack; Li, Jensen
Publication Years
2023-02-01
DOI
Source Title
ISSN
2195-1071
Abstract
Multiplexing holography with metasurfaces using different degrees of freedom of light has enabled recent applications in display and information processing. In terms of polarization-multiplexed holograms, the most general form is an arbitrary Jones matrix profile in storing the maximum amount of information. It requires a relaxation to bianisotropic metasurfaces from a conventional single-layer implementation of nanostructures, but it will also complicate both the inverse design of the nanostructures and the hologram generation algorithm. Here, an integrated neural network approach, being extended from the recent DeepCGH algorithm, is developed to obtain metasurface structural profiles directly from independent holograms from an arbitrary set of polarizations to another, with maximally four different co- and cross-polarization conversion channels. Such an information-driven approach enables designing complex polarization holograms directly from an existing metamaterial library without detailed physical knowledge on the constraints, and can be extended to other multiplexing holograms to further facilitate an efficient usage of the information stored on a metasurface.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Corresponding
Funding Project
Hong Kong RGC["C6013-18G","16306521","AoE/P-502/20"] ; NNSF of China[12074169]
WOS Research Area
Materials Science ; Optics
WOS Subject
Materials Science, Multidisciplinary ; Optics
WOS Accession No
WOS:000935082300001
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/501412
DepartmentDepartment of Physics
Affiliation
1.Hong Kong Univ Sci & Technol, Dept Phys, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
2.Southern Univ Sci & Technol, Dept Phys, Shenzhen 518055, Guangdong, Peoples R China
3.Ctr Adv Reliabil & Safety CAiRS, Hong Kong Sci Pk, Hong Kong, Peoples R China
Corresponding Author AffilicationDepartment of Physics
Recommended Citation
GB/T 7714
Xi, Jiawei,Shen, Jian,Chow, Man To,et al. Deep-Learning Assisted Polarization Holograms[J]. Advanced Optical Materials,2023.
APA
Xi, Jiawei,Shen, Jian,Chow, Man To,Li, Tan,Ng, Jack,&Li, Jensen.(2023).Deep-Learning Assisted Polarization Holograms.Advanced Optical Materials.
MLA
Xi, Jiawei,et al."Deep-Learning Assisted Polarization Holograms".Advanced Optical Materials (2023).
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