Optimization of H0 Photonic Crystal Nanocavity using Neural Network

被引：0
|
作者：
Abe, Ryotaro [1 ]
Takeda, Taichi [1 ]
Shiratori, Ryo [1 ]
Shirakawa, Shinichi [1 ]
Saito, Shota [1 ]
Baba, Toshihiko [1 ]
机构：
[1] Yokohama Natl Univ, Dept Elect & Comp Engn, 79-5 Tokiwadai, Yokohama, Kanagawa 2408501, Japan
来源：
2019 24TH OPTOELECTRONICS AND COMMUNICATIONS CONFERENCE (OECC) AND 2019 INTERNATIONAL CONFERENCE ON PHOTONICS IN SWITCHING AND COMPUTING (PSC) | 2019年
关键词：
Semiconductor lasers;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We optimized ultrasmall H0 photonic crystal nanocavity using neural network. Record high Q over one million and 280,000 were calculated in air and water, respectively, for 180 nm slab at a wavelength around 1550 nm.
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页数：3
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