Genetic-Algorithm-Aided Meta-Atom Multiplication for Improved Absorption and Coloration in Nanophotonics

Liu, Changxu1,3; Maier, Stefan A.1,2; Li, Guixin3,4

2020-07-15

10.1021/acsphotonics.0c00266

ACS Photonics   影响因子和分区

2330-4022

For a repertoire of nanophotonic systems, including photonic crystals, metasurfaces, and plasmonic structures, unit cell with a single element is conventionally used for the simplicity of design. The extension of the unit cell with multiple meta-atoms drastically enlarges the parameter space and consequently provides potential configurations with improved device performance. Simultaneously, the multiplication does not induce additional complexity for lithography-based fabrications. However, the substantially increased number of parameters makes the design methodology based on physical intuition and parameter sweep impractical. Here, we show that expanding the number of meta-atoms in the unit cell significantly improves the performance of nanophotonic systems by the virtue of a genetic algorithm-based optimizer. Our approach includes physical intuition endowed in the geometry of meta-atoms, providing additional physical understanding of the optimization process. We demonstrate two photonic applications, including prominent enhancement of a broadband absorption and enlargement of the color coverage of plasmonic nanostructures. Not limited to the two proof-of-concept demonstrations, this methodology can be applied to all meta-atom-based nanophotonic systems, including plasmonic near-field enhancement and nonlinear frequency conversion, as well as a simultaneous control of phase and polarization for metasurfaces.

plasmonics nanostructure structural color absorption genetic algorithms

SCI ; EI

英语

通讯

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)[EXC 2089/1-390776260] ; National Natural Science Foundation of China[11874426][11774145] ; Guangdong Provincial Innovation, and Entrepreneurship Project[2017ZT07C071]

Science & Technology - Other Topics ; Materials Science ; Optics ; Physics

Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Optics ; Physics, Applied ; Physics, Condensed Matter

WOS:000551497000018

AMER CHEMICAL SOC

20203309033660

Metamaterials ; Nanophotonics ; Plasmonics ; Atoms ; Genetic algorithms

Light/Optics:741.1 ; Nanotechnology:761 ; Atomic and Molecular Physics:931.3 ; Plasma Physics:932.3 ; Solid State Physics:933 ; Materials Science:951

Web of Science

1.Ludwig Maximilians Univ Munchen, Fac Phys, Nanoinst Munich, Chair Hybrid Nanosyst, D-80539 Munich, Germany
2.Imperial Coll London, Dept Phys, London SW7 2AZ, England
3.Southern Univ Sci & Technol, Dept Mat Sci & Engn, Shenzhen 518055, Peoples R China
4.Southern Univ Sci & Technol, Shenzhen Inst Quantum Sci & Engn, Shenzhen 518055, Peoples R China

Liu, Changxu,Maier, Stefan A.,Li, Guixin. Genetic-Algorithm-Aided Meta-Atom Multiplication for Improved Absorption and Coloration in Nanophotonics[J]. ACS Photonics,2020,7(7):1716-1722.

Liu, Changxu,Maier, Stefan A.,&Li, Guixin.(2020).Genetic-Algorithm-Aided Meta-Atom Multiplication for Improved Absorption and Coloration in Nanophotonics.ACS Photonics,7(7),1716-1722.

Liu, Changxu,et al."Genetic-Algorithm-Aided Meta-Atom Multiplication for Improved Absorption and Coloration in Nanophotonics".ACS Photonics 7.7(2020):1716-1722.