UV to near-infrared broadband pyramidal absorbers via a genetic algorithm optimization approach

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Résumé

We use a genetic algorithm to optimize broadband absorption by 2-D periodic arrays of pyramidal structures
made of one, two or three stacks of nickel/poly(methyl methacrylate) (Ni/PMMA) layers. The objective was
to achieve perfect absorption of normally incident radiations with wavelengths comprised between 420 and 1600
nm. The absorption spectrum of these pyramidal structures is calculated by a Rigorous Coupled Waves Analysis
method. A genetic algorithm is then used to determine optimal values for the period of the system, the lateral
dimensions of each stack of Ni/PMMA and the width of each layer of PMMA. The idea consists in working
with a population of individuals that represent possible solutions to the problem. The best individuals are
selected. They generate new individuals for the next generation. Random mutations in the coding of parameters
are introduced. A local optimization procedure that works on the data collected by the algorithm is used to
accelerate convergence. This strategy is repeated from generation to generation in order to determine a globally
optimal set of parameters. The optimal three-stacks structure determined by this approach turns out to absorb
99.8% of the incident radiations over the considered 420-1600 nm wavelength range. A value of 99.4% is achieved
with pyramids made of only two stacks of Ni/PMMA layers while a one-stack pyramidal structure absorbs 95.0%
over the same wavelength range. These results are surprisingly competitive considering the small number of layers
involved in the design. They prove the interest of an evolutionary approach to optical engineering problems.
langue originaleAnglais
titreProceedings of SPIE
rédacteurs en chefAnatoly V. Zayats, Allan D. Boardman, Kevin F. MacDonald
Pages1067127-1
Nombre de pages11
Volume10671
ISBN (Electronique)9781510618688
Les DOIs
étatPublié - 2018
EvénementSPIE Photonics Europe - Strasbourg Convention & Exhibition Centre, Strasbourg, France
Durée: 22 avr. 201826 avr. 2018
https://spie.org/conferences-and-exhibitions/photonics-europe

Une conférence

Une conférenceSPIE Photonics Europe
PaysFrance
La villeStrasbourg
période22/04/1826/04/18
Adresse Internet

Empreinte digitale

genetic algorithms
absorbers
broadband
optimization
polymethyl methacrylate
incident radiation
nickel
wavelengths
mutations
pyramids
coding
engineering
absorption spectra

Citer ceci

Mayer, A., & Lobet, M. (2018). UV to near-infrared broadband pyramidal absorbers via a genetic algorithm optimization approach. Dans A. V. Zayats, A. D. Boardman, & K. F. MacDonald (eds.), Proceedings of SPIE (Vol 10671, p. 1067127-1). [1067127] https://doi.org/10.1117/12.2303823
Mayer, Alexandre ; Lobet, Michaël. / UV to near-infrared broadband pyramidal absorbers via a genetic algorithm optimization approach. Proceedings of SPIE. Editeur / Anatoly V. Zayats ; Allan D. Boardman ; Kevin F. MacDonald. Vol 10671 2018. p. 1067127-1
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title = "UV to near-infrared broadband pyramidal absorbers via a genetic algorithm optimization approach",
abstract = "We use a genetic algorithm to optimize broadband absorption by 2-D periodic arrays of pyramidal structuresmade of one, two or three stacks of nickel/poly(methyl methacrylate) (Ni/PMMA) layers. The objective wasto achieve perfect absorption of normally incident radiations with wavelengths comprised between 420 and 1600nm. The absorption spectrum of these pyramidal structures is calculated by a Rigorous Coupled Waves Analysismethod. A genetic algorithm is then used to determine optimal values for the period of the system, the lateraldimensions of each stack of Ni/PMMA and the width of each layer of PMMA. The idea consists in workingwith a population of individuals that represent possible solutions to the problem. The best individuals areselected. They generate new individuals for the next generation. Random mutations in the coding of parametersare introduced. A local optimization procedure that works on the data collected by the algorithm is used toaccelerate convergence. This strategy is repeated from generation to generation in order to determine a globallyoptimal set of parameters. The optimal three-stacks structure determined by this approach turns out to absorb99.8{\%} of the incident radiations over the considered 420-1600 nm wavelength range. A value of 99.4{\%} is achievedwith pyramids made of only two stacks of Ni/PMMA layers while a one-stack pyramidal structure absorbs 95.0{\%}over the same wavelength range. These results are surprisingly competitive considering the small number of layersinvolved in the design. They prove the interest of an evolutionary approach to optical engineering problems.",
keywords = "genetic algorithm, metamaterials, super-absorption, optimization, Gray codes, quadratic approximation, pyramids, broadband absorber, PMMA, plasmon hybridization, nanopyramids, Ni",
author = "Alexandre Mayer and Micha{\"e}l Lobet",
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Mayer, A & Lobet, M 2018, UV to near-infrared broadband pyramidal absorbers via a genetic algorithm optimization approach. Dans AV Zayats, AD Boardman & KF MacDonald (eds), Proceedings of SPIE. VOL. 10671, 1067127, p. 1067127-1, SPIE Photonics Europe, Strasbourg, France, 22/04/18. https://doi.org/10.1117/12.2303823

UV to near-infrared broadband pyramidal absorbers via a genetic algorithm optimization approach. / Mayer, Alexandre; Lobet, Michaël.

Proceedings of SPIE. Ed. / Anatoly V. Zayats; Allan D. Boardman; Kevin F. MacDonald. Vol 10671 2018. p. 1067127-1 1067127.

Résultats de recherche: Contribution dans un livre/un catalogue/un rapport/dans les actes d'une conférenceArticle dans les actes d'une conférence/un colloque

TY - GEN

T1 - UV to near-infrared broadband pyramidal absorbers via a genetic algorithm optimization approach

AU - Mayer, Alexandre

AU - Lobet, Michaël

PY - 2018

Y1 - 2018

N2 - We use a genetic algorithm to optimize broadband absorption by 2-D periodic arrays of pyramidal structuresmade of one, two or three stacks of nickel/poly(methyl methacrylate) (Ni/PMMA) layers. The objective wasto achieve perfect absorption of normally incident radiations with wavelengths comprised between 420 and 1600nm. The absorption spectrum of these pyramidal structures is calculated by a Rigorous Coupled Waves Analysismethod. A genetic algorithm is then used to determine optimal values for the period of the system, the lateraldimensions of each stack of Ni/PMMA and the width of each layer of PMMA. The idea consists in workingwith a population of individuals that represent possible solutions to the problem. The best individuals areselected. They generate new individuals for the next generation. Random mutations in the coding of parametersare introduced. A local optimization procedure that works on the data collected by the algorithm is used toaccelerate convergence. This strategy is repeated from generation to generation in order to determine a globallyoptimal set of parameters. The optimal three-stacks structure determined by this approach turns out to absorb99.8% of the incident radiations over the considered 420-1600 nm wavelength range. A value of 99.4% is achievedwith pyramids made of only two stacks of Ni/PMMA layers while a one-stack pyramidal structure absorbs 95.0%over the same wavelength range. These results are surprisingly competitive considering the small number of layersinvolved in the design. They prove the interest of an evolutionary approach to optical engineering problems.

AB - We use a genetic algorithm to optimize broadband absorption by 2-D periodic arrays of pyramidal structuresmade of one, two or three stacks of nickel/poly(methyl methacrylate) (Ni/PMMA) layers. The objective wasto achieve perfect absorption of normally incident radiations with wavelengths comprised between 420 and 1600nm. The absorption spectrum of these pyramidal structures is calculated by a Rigorous Coupled Waves Analysismethod. A genetic algorithm is then used to determine optimal values for the period of the system, the lateraldimensions of each stack of Ni/PMMA and the width of each layer of PMMA. The idea consists in workingwith a population of individuals that represent possible solutions to the problem. The best individuals areselected. They generate new individuals for the next generation. Random mutations in the coding of parametersare introduced. A local optimization procedure that works on the data collected by the algorithm is used toaccelerate convergence. This strategy is repeated from generation to generation in order to determine a globallyoptimal set of parameters. The optimal three-stacks structure determined by this approach turns out to absorb99.8% of the incident radiations over the considered 420-1600 nm wavelength range. A value of 99.4% is achievedwith pyramids made of only two stacks of Ni/PMMA layers while a one-stack pyramidal structure absorbs 95.0%over the same wavelength range. These results are surprisingly competitive considering the small number of layersinvolved in the design. They prove the interest of an evolutionary approach to optical engineering problems.

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KW - metamaterials

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KW - Gray codes

KW - quadratic approximation

KW - pyramids

KW - broadband absorber

KW - PMMA

KW - plasmon hybridization

KW - nanopyramids

KW - Ni

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U2 - 10.1117/12.2303823

DO - 10.1117/12.2303823

M3 - Conference contribution

VL - 10671

SP - 1067127

EP - 1067121

BT - Proceedings of SPIE

A2 - Zayats, Anatoly V.

A2 - Boardman, Allan D.

A2 - MacDonald, Kevin F.

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Mayer A, Lobet M. UV to near-infrared broadband pyramidal absorbers via a genetic algorithm optimization approach. Dans Zayats AV, Boardman AD, MacDonald KF, rédacteurs en chef, Proceedings of SPIE. Vol 10671. 2018. p. 1067127-1. 1067127 https://doi.org/10.1117/12.2303823