文献
J-GLOBAL ID:202102232849176761
整理番号:21A0563709
深層学習を用いたナノフォトニック素子の波長制御可能な前方予測と逆設計【JST・京大機械翻訳】
Wavelength Controllable Forward Prediction and Inverse Design of Nanophotonic Devices Using Deep Learning
著者 (5件):
Song Yuchen
(State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications,Beijing,China,100876)
,
Wang Danshi
(State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications,Beijing,China,100876)
,
Ye Han
(State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications,Beijing,China,100876)
,
Qin Jun
(State Key Laboratory of Advanced Optical Communication Systems and Networks, Peking University,Beijing,China,100871)
,
Zhang Min
(State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications,Beijing,China,100876)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ECOC
ページ:
1-4
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)