文献
J-GLOBAL ID:202202238062980169
整理番号:22A0467129
深層学習を用いたニッケル基超合金の微細構造特性分類【JST・京大機械翻訳】
Microstructure property classification of nickel-based superalloys using deep learning
著者 (6件):
Nwachukwu Uchechukwu
(Interdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universitaet Bochum, Bochum, 44801, Germany)
,
Obaied Abdulmonem
(Interdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universitaet Bochum, Bochum, 44801, Germany)
,
Horst Oliver Martin
(Institut fuer Werkstoffe, Ruhr-Universitaet Bochum, Bochum, 44801, Germany)
,
Ali Muhammad Adil
(Interdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universitaet Bochum, Bochum, 44801, Germany)
,
Steinbach Ingo
(Interdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universitaet Bochum, Bochum, 44801, Germany)
,
Roslyakova Irina
(Interdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universitaet Bochum, Bochum, 44801, Germany)
資料名:
Modelling and Simulation in Materials Science and Engineering
(Modelling and Simulation in Materials Science and Engineering)
巻:
30
号:
2
ページ:
025009 (22pp)
発行年:
2022年
JST資料番号:
W0484A
ISSN:
0965-0393
CODEN:
MSMEEU
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)