文献
J-GLOBAL ID:202202254724586896
整理番号:22A1082962
流体中の高速イメージングの深層学習に基づく超解像再構成【JST・京大機械翻訳】
Deep-learning-based super-resolution reconstruction of high-speed imaging in fluids
著者 (7件):
Wang Zhibo
(Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, People’s Republic of China)
,
Li Xiangru
(Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, People’s Republic of China)
,
Liu Luhan
(Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, People’s Republic of China)
,
Wu Xuecheng
(Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, People’s Republic of China)
,
Hao Pengfei
(Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, People’s Republic of China)
,
Zhang Xiwen
(Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, People’s Republic of China)
,
He Feng
(Applied Mechanics Laboratory, Department of Engineering Mechanics, Tsinghua University, Beijing 100084, People’s Republic of China)
資料名:
Physics of Fluids
(Physics of Fluids)
巻:
34
号:
3
ページ:
037107-037107-22
発行年:
2022年
JST資料番号:
H0052B
ISSN:
1070-6631
CODEN:
PHFLE6
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)