文献
J-GLOBAL ID:202002221426427820
整理番号:20A2157187
より良い,より速い,そしてより少ないバイアス機械学習:強誘電体薄膜における電気機械スイッチング【JST・京大機械翻訳】
Better, Faster, and Less Biased Machine Learning: Electromechanical Switching in Ferroelectric Thin Films
著者 (6件):
Griffin Lee A.
(G. W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA)
,
Griffin Lee A.
(School of Electrical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA)
,
Gaponenko Iaroslav
(G. W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA)
,
Gaponenko Iaroslav
(Department of Quantum Matter Physics, University of Geneva, Geneva, 1204, Switzerland)
,
Bassiri-Gharb Nazanin
(G. W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA)
,
Bassiri-Gharb Nazanin
(School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA)
資料名:
Advanced Materials
(Advanced Materials)
巻:
32
号:
38
ページ:
e2002425
発行年:
2020年
JST資料番号:
W0001A
ISSN:
0935-9648
CODEN:
ADVMEW
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)