文献
J-GLOBAL ID:202002219220912608
整理番号:20A2120829
機械学習と結合した粒子群最適化アルゴリズムによる高性能プラズモンナノセンサの設計【JST・京大機械翻訳】
Design of high-performance plasmonic nanosensors by particle swarm optimization algorithm combined with machine learning
著者 (7件):
Yan Ruoqin
(Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China)
,
Wang Tao
(Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China)
,
Jiang Xiaoyun
(Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China)
,
Zhong Qingfang
(Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China)
,
Huang Xing
(Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China)
,
Wang Lu
(Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China)
,
Yue Xinzhao
(Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, People’s Republic of China)
資料名:
Nanotechnology
(Nanotechnology)
巻:
31
号:
37
ページ:
375202 (10pp)
発行年:
2020年
JST資料番号:
W0108A
ISSN:
0957-4484
CODEN:
NNOTER
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)