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ID 63442
フルテキストURL
fulltext.pdf 1.72 MB
著者
Isobe, Kazuma Department of Advanced Mechanics, Graduate School of Natural Science and Technology, Okayama University ORCID Kaken ID researchmap
Hanamura, Katsunori School of Engineering, Department of Mechanical Engineering, Tokyo Institute of Technology
抄録
Electromagnetic fields around metal-semiconductor-metal (MSM) multilayers with square island top layers were numerically simulated to elucidate the difference in physics between the circuit resonance and Fabry-Perot interference mediated by the surface plasmon polaritons (SPP). In the current study, the top and bottom metal layers were made of gold, and the intermediate semiconductor layer was a gallium antimony (GaSb). The lumped-element and Fabry-Perot interference models showed less accuracy when the island width of the MSM multilayer was comparatively smaller. Since the capacitor and SPP could not be supported between the top and bottom gold layers, the anti-reflection mode of the gold-GaSb bilayer mainly affected the absorptance. However, when the width of the island was sufficiently large, the time-lapse development of the electromagnetic fields at resonant wavelengths showed strong electric and magnetic responses relating to the circuit resonance. Simultaneously, the electric fields depicted the movement of the electric charge, which coupled to the short-range surface plasmon polariton (SRSP) existing at the thin GaSb layer sandwiched by two gold layers. The wavelength of the SRSP approximately corresponded to that of the Fabry-Perot interference. It was revealed that the lumped-element and Fabry-Perot interference models indicated the same resonant mode from two different perspectives in physics.
キーワード
resonance modes
finite difference time domain method
metal-semiconductor-metal multilayer
lumped-element model
Fabry-Perot interference
surface plasmon polariton
electric charge
発行日
2022-04-25
出版物タイトル
Journal Of Physics Communications
6巻
4号
出版者
IOP Publishing Ltd
開始ページ
045006
ISSN
2399-6528
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© 2022 The Author(s).
論文のバージョン
publisher
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1088/2399-6528/ac678f
ライセンス
https://creativecommons.org/licenses/by/4.0/
助成機関名
Japan Society for the Promotion of Science
助成番号
20H02084