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 language | English |
|---|---|
| Title of host publication | Metamaterials, Metadevices, and Metasystems 2017 |
| Publisher | SPIE |
| Volume | 10343 |
| ISBN (Electronic) | 9781510611436 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | Metamaterials, Metadevices, and Metasystems 2017 - San Diego, United States Duration: Aug 6 2017 → Aug 10 2017 |
Other
| Other | Metamaterials, Metadevices, and Metasystems 2017 |
|---|---|
| Country | United States |
| City | San Diego |
| Period | 8/6/17 → 8/10/17 |
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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
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 proceeding › Conference contribution
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TY - GEN
T1 - Automated design of infrared digital metamaterials by genetic algorithm
AU - Sugino, Yuya
AU - Ishikawa, Atsushi
AU - Hayashi, Yasuhiko
AU - Tsuruta, Kenji
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - Computer-Aided Design
KW - Genetic Algorithm
KW - Infrared Properties
KW - Metamaterials
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UR - http://www.scopus.com/inward/citedby.url?scp=85033572070&partnerID=8YFLogxK
U2 - 10.1117/12.2273607
DO - 10.1117/12.2273607
M3 - Conference contribution
VL - 10343
BT - Metamaterials, Metadevices, and Metasystems 2017
PB - SPIE
ER -