Single-layer multiband infrared metallodielectric photonic crystals designed by genetic algorithm optimization

Robert P. Drupp; Jeremy A. Bossard; Douglas H. Werner; Theresa S. Mayer

doi:10.1063/1.1868884

Single-layer multiband infrared metallodielectric photonic crystals designed by genetic algorithm optimization

Robert P. Drupp, Jeremy A. Bossard, Douglas H. Werner, Theresa S. Mayer

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

Metallodielectric photonic crystals (MDPCs) consisting of a planar periodic array of metallic patch elements designed by genetic algorithm (GA) optimization were patterned on flexible dielectric substrates and exhibit strong mid- and far-infrared (IR) dual-band response. The GA uses biological principles of natural selection to evolve nonintuitive geometries by optimizing the MDPC scattering response based on a user-defined fitness function. The transmission spectra measured on two different MDPCs optimized for optically thin and thick substrates have two strong stop bands with attenuation greater than 10 dB, which agree well with those predicted by full-wave periodic method of moments (PMM) modeling. This versatile GA optimization approach will facilitate design of scaled mid- and near-IR MDPCs with user-defined scattering response.

Original language	English (US)
Article number	081102
Pages (from-to)	1-3
Number of pages	3
Journal	Applied Physics Letters
Volume	86
Issue number	8
DOIs	https://doi.org/10.1063/1.1868884
State	Published - Feb 21 2005

All Science Journal Classification (ASJC) codes

Physics and Astronomy (miscellaneous)

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10.1063/1.1868884

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title = "Single-layer multiband infrared metallodielectric photonic crystals designed by genetic algorithm optimization",

abstract = "Metallodielectric photonic crystals (MDPCs) consisting of a planar periodic array of metallic patch elements designed by genetic algorithm (GA) optimization were patterned on flexible dielectric substrates and exhibit strong mid- and far-infrared (IR) dual-band response. The GA uses biological principles of natural selection to evolve nonintuitive geometries by optimizing the MDPC scattering response based on a user-defined fitness function. The transmission spectra measured on two different MDPCs optimized for optically thin and thick substrates have two strong stop bands with attenuation greater than 10 dB, which agree well with those predicted by full-wave periodic method of moments (PMM) modeling. This versatile GA optimization approach will facilitate design of scaled mid- and near-IR MDPCs with user-defined scattering response.",

author = "Drupp, {Robert P.} and Bossard, {Jeremy A.} and Werner, {Douglas H.} and Mayer, {Theresa S.}",

note = "Funding Information: This research was supported by the NSF MRSEC, Center for Nanoscale Science, Grant No. DMR-0213623. One of the authors (R. D.) acknowledges support from a Materials Research Institute Graduate Fellowship. The authors also acknowledge the Penn State Materials Characterization Laboratory for SEM facilities.",

year = "2005",

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doi = "10.1063/1.1868884",

language = "English (US)",

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T1 - Single-layer multiband infrared metallodielectric photonic crystals designed by genetic algorithm optimization

AU - Drupp, Robert P.

AU - Bossard, Jeremy A.

AU - Werner, Douglas H.

AU - Mayer, Theresa S.

N1 - Funding Information: This research was supported by the NSF MRSEC, Center for Nanoscale Science, Grant No. DMR-0213623. One of the authors (R. D.) acknowledges support from a Materials Research Institute Graduate Fellowship. The authors also acknowledge the Penn State Materials Characterization Laboratory for SEM facilities.

PY - 2005/2/21

Y1 - 2005/2/21

N2 - Metallodielectric photonic crystals (MDPCs) consisting of a planar periodic array of metallic patch elements designed by genetic algorithm (GA) optimization were patterned on flexible dielectric substrates and exhibit strong mid- and far-infrared (IR) dual-band response. The GA uses biological principles of natural selection to evolve nonintuitive geometries by optimizing the MDPC scattering response based on a user-defined fitness function. The transmission spectra measured on two different MDPCs optimized for optically thin and thick substrates have two strong stop bands with attenuation greater than 10 dB, which agree well with those predicted by full-wave periodic method of moments (PMM) modeling. This versatile GA optimization approach will facilitate design of scaled mid- and near-IR MDPCs with user-defined scattering response.

AB - Metallodielectric photonic crystals (MDPCs) consisting of a planar periodic array of metallic patch elements designed by genetic algorithm (GA) optimization were patterned on flexible dielectric substrates and exhibit strong mid- and far-infrared (IR) dual-band response. The GA uses biological principles of natural selection to evolve nonintuitive geometries by optimizing the MDPC scattering response based on a user-defined fitness function. The transmission spectra measured on two different MDPCs optimized for optically thin and thick substrates have two strong stop bands with attenuation greater than 10 dB, which agree well with those predicted by full-wave periodic method of moments (PMM) modeling. This versatile GA optimization approach will facilitate design of scaled mid- and near-IR MDPCs with user-defined scattering response.

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Single-layer multiband infrared metallodielectric photonic crystals designed by genetic algorithm optimization

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