文献
J-GLOBAL ID:202102228554918433
整理番号:21A0198909
照射誘導気泡の開発における機械学習定式化によるシンク強度表現と結晶界面の長期役割に関する試み【JST・京大機械翻訳】
Attempts on representing sink strengths with machine learning formulations and the long-term role of crystalline interfaces in the development of irradiation-induced bubbles
著者 (9件):
Luo Jing
(Department of Engineering Mechanics, Dalian University of Technology, Dalian, 116023, P. R. China)
,
Xin Yong
(Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, P. R. China)
,
Zhou Zhengcheng
(Department of Engineering Mechanics, Dalian University of Technology, Dalian, 116023, P. R. China)
,
Zhu Yichao
(Department of Engineering Mechanics, Dalian University of Technology, Dalian, 116023, P. R. China)
,
Zhu Yichao
(State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology)
,
Zhu Yichao
(International Research Center for Computational Mechanics, Dalian University of Technology)
,
Guo Xu
(Department of Engineering Mechanics, Dalian University of Technology, Dalian, 116023, P. R. China)
,
Guo Xu
(State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology)
,
Guo Xu
(International Research Center for Computational Mechanics, Dalian University of Technology)
資料名:
Journal of Nuclear Materials
(Journal of Nuclear Materials)
巻:
544
ページ:
Null
発行年:
2021年
JST資料番号:
D0148A
ISSN:
0022-3115
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)