Literature DB >> 30645556

Broadband infrared binary-pattern metasurface absorbers with micro-genetic algorithm optimization.

Zhigang Li, Liliana Stan, David A Czaplewski, Xiaodong Yang, Jie Gao.   

Abstract

Broadband binary-pattern metasurface absorbers are designed and demonstrated in the mid-infrared wavelength range through the micro-genetic algorithm. The tungsten-based metasurface absorbers with the optimized binary-pattern nanostructures exhibit broadband near-perfect absorption due to the multiple plasmonic resonances supported within the unit cell. Furthermore, the influence of minor pixel modifications in the optimized binary-pattern nanostructures on the absorption performance is investigated in the experiment. This Letter presents a promising approach to design and optimize complex optical nanostructures with the desired properties for metamaterial and metasurface applications.

Entities:  

Year:  2019        PMID: 30645556     DOI: 10.1364/OL.44.000114

Source DB:  PubMed          Journal:  Opt Lett        ISSN: 0146-9592            Impact factor:   3.776


  1 in total

1.  The Online Teaching Mode of College English in the Context of Gaussian Variant Genetic Algorithm.

Authors:  Shengfen Wang; Wei Hu; Yuan Lei
Journal:  Comput Intell Neurosci       Date:  2021-12-20
  1 in total

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