期刊
NANOPHOTONICS
卷 11, 期 6, 页码 1203-1210出版社
WALTER DE GRUYTER GMBH
DOI: 10.1515/nanoph-2021-0787
关键词
accelerating beam; large curvature ratio; metasurface; polygon beam; small focused spot
资金
- National Natural Science Foundation of China [62175153]
- National Key R&D Program of China [2018YFA0701800]
- Shanghai Municipal Science and Technology Commission Innovation Action Plan [18DZ1100400]
In this article, a method for generating high-quality accelerating polygon beams using dielectric metasurfaces is proposed. This method has higher efficiency and smaller size compared to using spatial light modulators or plasmonic metasurfaces, and can produce beams with a large curvature ratio for self-accelerating channels.
Self-accelerating polygon beams have drawn growing emphasis in optics owing to their exceptional characteristics of multiple self-accelerating channels and needle-like field distributions. Various approaches have been proposed to generate polygon beams, such as using spatial light modulators (SLMs) or plasmonic metasurfaces. However, SLMs impede the miniaturization of the optical system and both approaches are subject to low efficiencies and demand an extra physical lens with a long focal length for Fourier transform, which limits the quality and the diverse variability of polygon beams. In this article, we demonstrate the generation of high-quality accelerating polygon beams in broadband spectra of 500-850 nm by utilizing dielectric metasurfaces. These metasurfaces integrate the functionality of the Fourier transform lens to enable the resulting beams with a large curvature ratio for the self-accelerating channels and a relatively small size for the autofocus region. The curvature ratio of the beam at lambda = 633 nm is 31 times higher than the previously reported plasmonic-based method. While the size of the focused spot is 2.35 mu m, which is reduced by nearly 15 times. The proposed beam generator provides ample opportunities for applications such as particle micromanipulation, beam shaping, laser fabrication, and biomedical imaging.
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