Deep-Learning Assisted Polarization Holograms

Xi, Jiawei1; Shen, Jian1,2; Chow, Man To1; Li, Tan3; Ng, Jack2; Li, Jensen1

2023-02-01

10.1002/adom.202202663

Advanced Optical Materials   影响因子和分区

2195-1071

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.

bianisotropic metasurface machine learning polarization holograms

SCI ; EI

英语

通讯

Hong Kong RGC["C6013-18G","16306521","AoE/P-502/20"] ; NNSF of China[12074169]

Materials Science ; Optics

Materials Science, Multidisciplinary ; Optics

WOS:000935082300001

WILEY-V C H VERLAG GMBH

20230813627288

Deep learning ; Degrees of freedom (mechanics) ; Lithography ; Nanostructures ; Polarization

Ergonomics and Human Factors Engineering:461.4 ; Holography:743 ; Nanotechnology:761 ; Mechanics:931.1 ; Solid State Physics:933

Web of Science

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

Xi, Jiawei,Shen, Jian,Chow, Man To,et al. Deep-Learning Assisted Polarization Holograms[J]. Advanced Optical Materials,2023.

Xi, Jiawei,Shen, Jian,Chow, Man To,Li, Tan,Ng, Jack,&Li, Jensen.(2023).Deep-Learning Assisted Polarization Holograms.Advanced Optical Materials.

Xi, Jiawei,et al."Deep-Learning Assisted Polarization Holograms".Advanced Optical Materials (2023).