| CONDENSED MATTER: ELECTRONIC STRUCTURE, ELECTRICAL, MAGNETIC, AND OPTICAL PROPERTIES |
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Multiplexed Metasurfaces for High-Capacity Printing Imaging |
| Zhenyu Fang , Haofei Xu , Yaqin Zheng , Yuelin Chen , and Zhang-Kai Zhou* |
| State Key Laboratory of Optoelectronic Materials and Technologies, School of Physics, Sun Yat-sen University, Guangzhou 510275, China |
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| Cite this article: |
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Zhenyu Fang , Haofei Xu , Yaqin Zheng et al 2020 Chin. Phys. Lett. 37 077801 |
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Abstract We successfully overcome the problem of cross-talk in multiplexed metasurface design and realize the multiplexed metasurface with five printing images in both theoretical and experimental aspects, by employing the coherent pixel design considering coherent superposition of all the sub-elements. Compared with most previous studies where the integrated printing images were usually no more than three, our study shows obvious improvement. More importantly, in our approach all the sub-elements, which were crystalline silicon nanobricks with the size of $320\times 80\times 230$ nm$^{3}$, were arranged in a square space of $1.45 \times 1.45$ μm$^{2}$ following the closest packing way, enabling our multiplexed metasurface to have a potential of effective physical information capacity of printing image reaching the optical diffraction limit. Our study not only enlarges the information capacity of metasurfaces by expanding the integrated number of printing image in one metasurface, but also can promote metasurface applications in various fields such as information storage and encoding.
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Received: 27 March 2020
Published: 21 June 2020
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| PACS: |
78.67.Pt
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(Multilayers; superlattices; photonic structures; metamaterials)
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78.67.-n
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(Optical properties of low-dimensional, mesoscopic, and nanoscale materials and structures)
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78.68.+m
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(Optical properties of surfaces)
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42.82.-m
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(Integrated optics)
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| Fund: Supported by the National Natural Science Foundation of China (Grant Nos. 11974437 and 61675237), the Guangdong Natural Science Funds for Distinguished Young Scholars (Grant No. 2017B030306007), the Guangdong Special Support Program (Grant No. 2017TQ04C487), and the Pearl River S&T Nova Program of Guangzhou (Grant No. 201806010033). |
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