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Optimization of an H0 photonic crystal nanocavity using machine learning
http://hdl.handle.net/10131/00013045
http://hdl.handle.net/10131/00013045d060b88f-4d0f-4e6e-9611-95b81b090c16
名前 / ファイル | ライセンス | アクション |
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Abe submission final.pdf (672.1 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2020-03-16 | |||||
タイトル | ||||||
タイトル | Optimization of an H0 photonic crystal nanocavity using machine learning | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題 | Photonic Crystals and Devices, Cavity quantum electrodynamics, Laser operation, Neural networks, Photonic crystal cavities, Photonic crystals, Stochastic gradient descent | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
Abe, Ryotaro
× Abe, Ryotaro× Takeda, Taichi× Shiratori, Ryo× Shirakawa, Shinichi× Saito, Shota× Baba, Toshihiko |
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著者所属 | ||||||
Department of Electrical and Computer Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogayaku, Yokohama 240-8501, Japan | ||||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Using machine learning, we optimized an ultrasmall photonic crystal nanocavity to attain a high Q. Training data were collected via finite-difference time-domain simulation for models with randomly shifted holes, and a fully connected neural network (NN) was trained, resulting in a coefficient of determination between predicted and calculated values of 0.977. By repeating NN training and optimization of the Q value on the trained NN, the Q was roughly improved by a factor of 10–20 for various situations. Assuming a 180-nm-thick semiconductor slab at a wavelength approximately 1550 nm, we obtained Q = 1,011,400 in air; 283,200 in a solution, which was suitable for biosensing; and 44,600 with a nanoslot for high sensitivity. Important hole positions were also identified using the linear Lasso regression algorithm. | |||||
書誌情報 |
Optics Letters 巻 45, 号 2, p. 319-322, 発行日 2020-01-15 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 15394794 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11868198 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1364/OL.381616 | |||||
権利 | ||||||
権利情報 | © 2020 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited. | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
出版者 | ||||||
出版者 | OSA |