文献
J-GLOBAL ID:202202265345830756
整理番号:22A0590005
予コンパイル機械学習アルゴリズムによる金属ナノ複合材料の動的変態塑性の観察【JST・京大機械翻訳】
Observation of dynamical transformation plasticity in metallic nanocomposites through a precompiled machine-learning algorithm
著者 (7件):
So Kang Pyo
(Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA)
,
Stapelberg Myles
(Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA)
,
Zhou Yu Ren
(Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA)
,
Li Mingda
(Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA)
,
Short Michael P.
(Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA)
,
Yip Sidney
(Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA)
,
Yip Sidney
(Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA)
資料名:
Materials Research Letters
(Materials Research Letters)
巻:
10
号:
1
ページ:
14-20
発行年:
2022年
JST資料番号:
W6001A
ISSN:
2166-3831
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)