Literature DB >> 29041440

Dispersion controlling meta-lens at visible frequency.

Ke Li, Yinghui Guo, Mingbo Pu, Xiong Li, Xiaoliang Ma, Zeyu Zhao, Xiangang Luo.   

Abstract

Dispersion management is crucial in constructing spectrometers, superprisms, and achromatic lens systems. Unfortunately, the dispersion of natural materials is determined by the molecular energy levels with limited tunability, and thus conventional methods of dispersion controlling are complex and need to trade off other aberration. Metasurface offers an alternative method to overcome those limits via utilizing dedicatedly designed nanostructures that response to special wavelength, which results in well-engineered dispersions. As proof of the concept, we design a series of flat dielectric metasurface lenses, which are able to steer the dispersion arbitrarily for three wavelengths at visible frequency (473, 532, and 632.8 nm). Based on the unique dispersion engineering ability of metasurface, the achromatic meta-lens and the super-dispersion meta-lenses are realized. Furthermore, the light of different wavelengths can be focused on any desired spatial positions.

Entities:  

Year:  2017        PMID: 29041440     DOI: 10.1364/OE.25.021419

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  4 in total

1.  Near-infrared tunable metalens based on phase change material Ge2Se2Te5.

Authors:  Wei Bai; Ping Yang; Jie Huang; Dingbo Chen; Jingjing Zhang; Zhaojian Zhang; Junbo Yang; Bing Xu
Journal:  Sci Rep       Date:  2019-03-29       Impact factor: 4.379

Review 2.  Metalens-Based Miniaturized Optical Systems.

Authors:  Bo Li; Wibool Piyawattanametha; Zhen Qiu
Journal:  Micromachines (Basel)       Date:  2019-05-08       Impact factor: 2.891

Review 3.  Recent Progress on Ultrathin Metalenses for Flat Optics.

Authors:  Seong-Won Moon; Yeseul Kim; Gwanho Yoon; Junsuk Rho
Journal:  iScience       Date:  2020-11-30

4.  Robust Achromatic All-Dielectric Metalens for Infrared Detection in Intelligent Inspection.

Authors:  Wenrong Si; Zhengyong Hu; Dun Lan; Yi Zhou; Wei Li
Journal:  Sensors (Basel)       Date:  2022-08-31       Impact factor: 3.847

  4 in total

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