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Article: Phase-controlled metasurface design via optimized genetic algorithm

TitlePhase-controlled metasurface design via optimized genetic algorithm
Authors
Keywordsdielectric metasurface
genetic algorithm
light sheet
optical Pancharatnam-Berry phase
Issue Date2020
PublisherDe Gruyter Open. The Journal's web site is located at http://www.degruyter.com/view/j/nanoph
Citation
Nanophotonics, 2020, v. 9 n. 12, p. 3931-3939 How to Cite?
AbstractIn an optical Pancharatnam-Berry (PB) phase metasurface, each sub-wavelength dielectric structure of varied spatial orientation can be treated as a point source with the same amplitude yet varied relative phase. In this work, we introduce an optimized genetic algorithm (GA) method for the synthesis of one-dimensional (1D) PB phase-controlled dielectric metasurfaces by seeking for optimized phase profile solutions, which differs from previously reported amplitude-controlled GA method only applicable to generate transverse optical modes with plasmonic metasurfaces. The GA–optimized phase profiles can be readily used to construct dielectric metasurfaces with improved functionalities. The loop of phase-controlled GA consists of initialization, random mutation, screened evolution, and duplication. Here random mutation is realized by changing the phase of each unit cell, and this process should be efficient to obtain enough mutations to drive the whole GA process under supervision of appropriate mutation boundary. A well-chosen fitness function ensures the right direction of screened evolution, and the duplication process guarantees an equilibrated number of generated light patterns. Importantly, we optimize the GA loop by introducing a multi-step hierarchical mutation process to break local optimum limits. We demonstrate the validity of our optimized GA method by generating longitudinal optical modes (i. e., non-diffractive light sheets) with 1D PB phase dielectric metasurfaces having non-analytical counter-intuitive phase profiles. The produced large-area, long-distance light sheets could be used for realizing high-speed, low-noise light-sheet microscopy. Additionally, a simplified 3D light pattern generated by a 2D PB phase metasurface further reveals the potential of our optimized GA method for manipulating truly 3D light fields.
Persistent Identifierhttp://hdl.handle.net/10722/303940
ISSN
2023 Impact Factor: 6.5
2023 SCImago Journal Rankings: 1.999
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorFan, Y-
dc.contributor.authorXu, Y-
dc.contributor.authorQiu, M-
dc.contributor.authorJin, W-
dc.contributor.authorZhang, L-
dc.contributor.authorLam, EY-
dc.contributor.authorTsai, DP-
dc.contributor.authorLei, D-
dc.date.accessioned2021-09-23T08:52:56Z-
dc.date.available2021-09-23T08:52:56Z-
dc.date.issued2020-
dc.identifier.citationNanophotonics, 2020, v. 9 n. 12, p. 3931-3939-
dc.identifier.issn2192-8606-
dc.identifier.urihttp://hdl.handle.net/10722/303940-
dc.description.abstractIn an optical Pancharatnam-Berry (PB) phase metasurface, each sub-wavelength dielectric structure of varied spatial orientation can be treated as a point source with the same amplitude yet varied relative phase. In this work, we introduce an optimized genetic algorithm (GA) method for the synthesis of one-dimensional (1D) PB phase-controlled dielectric metasurfaces by seeking for optimized phase profile solutions, which differs from previously reported amplitude-controlled GA method only applicable to generate transverse optical modes with plasmonic metasurfaces. The GA–optimized phase profiles can be readily used to construct dielectric metasurfaces with improved functionalities. The loop of phase-controlled GA consists of initialization, random mutation, screened evolution, and duplication. Here random mutation is realized by changing the phase of each unit cell, and this process should be efficient to obtain enough mutations to drive the whole GA process under supervision of appropriate mutation boundary. A well-chosen fitness function ensures the right direction of screened evolution, and the duplication process guarantees an equilibrated number of generated light patterns. Importantly, we optimize the GA loop by introducing a multi-step hierarchical mutation process to break local optimum limits. We demonstrate the validity of our optimized GA method by generating longitudinal optical modes (i. e., non-diffractive light sheets) with 1D PB phase dielectric metasurfaces having non-analytical counter-intuitive phase profiles. The produced large-area, long-distance light sheets could be used for realizing high-speed, low-noise light-sheet microscopy. Additionally, a simplified 3D light pattern generated by a 2D PB phase metasurface further reveals the potential of our optimized GA method for manipulating truly 3D light fields.-
dc.languageeng-
dc.publisherDe Gruyter Open. The Journal's web site is located at http://www.degruyter.com/view/j/nanoph-
dc.relation.ispartofNanophotonics-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectdielectric metasurface-
dc.subjectgenetic algorithm-
dc.subjectlight sheet-
dc.subjectoptical Pancharatnam-Berry phase-
dc.titlePhase-controlled metasurface design via optimized genetic algorithm-
dc.typeArticle-
dc.identifier.emailLam, EY: elam@eee.hku.hk-
dc.identifier.authorityLam, EY=rp00131-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1515/nanoph-2020-0132-
dc.identifier.scopuseid_2-s2.0-85093644497-
dc.identifier.hkuros324986-
dc.identifier.volume9-
dc.identifier.issue12-
dc.identifier.spage3931-
dc.identifier.epage3939-
dc.identifier.isiWOS:000568281600017-
dc.publisher.placeGermany-

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