文献
J-GLOBAL ID:202002218717225411
整理番号:20A1127412
機械学習に基づくマルチスケール材料シミュレーションを用いた新しいDP鋼の発見の加速【JST・京大機械翻訳】
Accelerating the Discovery of New DP Steel Using Machine Learning-Based Multiscale Materials Simulations
著者 (5件):
Chehade Abdallah A.
(Department of Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn, Dearborn, MI, USA)
,
Belgasam Tarek M.
(Materials Research Division, Honda R&D America, Inc., Raymond, OH, USA)
,
Belgasam Tarek M.
(Mechanical Engineering Department, Faculty of Engineering, University of Benghazi, Benghazi, Libya)
,
Ayoub Georges
(Department of Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn, Dearborn, MI, USA)
,
Zbib Hussein M.
(School of Mechanical and Materials Engineering, Washington State University, Pullman, WA, USA)
資料名:
Metallurgical and Materials Transactions. A. Physical Metallurgy and Materials Science
(Metallurgical and Materials Transactions. A. Physical Metallurgy and Materials Science)
巻:
51
号:
6
ページ:
3268-3279
発行年:
2020年
JST資料番号:
E0265B
ISSN:
1073-5623
CODEN:
MTTABN
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)