Automated design of infrared digital metamaterials by genetic algorithm

Yuya Sugino, Atsushi Ishikawa, Yasuhiko Hayashi, Kenji Tsuruta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We demonstrate automatic design of infrared (IR) metamaterials using a genetic algorithm (GA) and experimentally characterize their IR properties. To implement the automated design scheme of the metamaterial structures, we adopt a digital metamaterial consisting of 7 × 7 Au nano-pixels with an area of 200 nm × 200 nm, and their placements are coded as binary genes in the GA optimization process. The GA combined with three-dimensional (3D) finite element method (FEM) simulation is developed and applied to automatically construct a digital metamaterial to exhibit pronounced plasmonic resonances at the target IR frequencies. Based on the numerical results, the metamaterials are fabricated on a Si substrate over an area of 1 mm × 1 mm by using an EB lithography, Cr/Au (2/20 nm) depositions, and liftoff process. In the FT-IR measurement, pronounced plasmonic responses of each metamaterial are clearly observed near the targeted frequencies, although the synthesized pixel arrangements of the metamaterials are seemingly random. The corresponding numerical simulations reveal the important resonant behavior of each pixel and their hybridized systems. Our approach is fully computer-aided without artificial manipulation, thus paving the way toward the novel device design for next-generation plasmonic device applications.

Original languageEnglish
Title of host publicationMetamaterials, Metadevices, and Metasystems 2017
PublisherSPIE
Volume10343
ISBN (Electronic)9781510611436
DOIs
Publication statusPublished - 2017
EventMetamaterials, Metadevices, and Metasystems 2017 - San Diego, United States
Duration: Aug 6 2017Aug 10 2017

Other

OtherMetamaterials, Metadevices, and Metasystems 2017
CountryUnited States
CitySan Diego
Period8/6/178/10/17

Fingerprint

Metamaterials
genetic algorithms
Infrared
Genetic algorithms
pixels
Genetic Algorithm
Infrared radiation
Plasmonics
Pixel
Pixels
genes
manipulators
finite element method
lithography
simulation
optimization
Process Optimization
Design
Lithography
Placement

Keywords

  • Computer-Aided Design
  • Genetic Algorithm
  • Infrared Properties
  • Metamaterials

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Sugino, Y., Ishikawa, A., Hayashi, Y., & Tsuruta, K. (2017). Automated design of infrared digital metamaterials by genetic algorithm. In Metamaterials, Metadevices, and Metasystems 2017 (Vol. 10343). [103432O] SPIE. https://doi.org/10.1117/12.2273607

Automated design of infrared digital metamaterials by genetic algorithm. / Sugino, Yuya; Ishikawa, Atsushi; Hayashi, Yasuhiko; Tsuruta, Kenji.

Metamaterials, Metadevices, and Metasystems 2017. Vol. 10343 SPIE, 2017. 103432O.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sugino, Y, Ishikawa, A, Hayashi, Y & Tsuruta, K 2017, Automated design of infrared digital metamaterials by genetic algorithm. in Metamaterials, Metadevices, and Metasystems 2017. vol. 10343, 103432O, SPIE, Metamaterials, Metadevices, and Metasystems 2017, San Diego, United States, 8/6/17. https://doi.org/10.1117/12.2273607
Sugino Y, Ishikawa A, Hayashi Y, Tsuruta K. Automated design of infrared digital metamaterials by genetic algorithm. In Metamaterials, Metadevices, and Metasystems 2017. Vol. 10343. SPIE. 2017. 103432O https://doi.org/10.1117/12.2273607
Sugino, Yuya ; Ishikawa, Atsushi ; Hayashi, Yasuhiko ; Tsuruta, Kenji. / Automated design of infrared digital metamaterials by genetic algorithm. Metamaterials, Metadevices, and Metasystems 2017. Vol. 10343 SPIE, 2017.
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