文献
J-GLOBAL ID:202002259901591230
整理番号:20A1531366
ThMn_12型合金の組成を識別するための粉末X線回折パターンに適用した機械学習クラスタリング技術【JST・京大機械翻訳】
Machine-Learning Clustering Technique Applied to Powder X-Ray Diffraction Patterns to Distinguish Compositions of ThMn12-Type Alloys
著者 (10件):
Utimula Keishu
(School of Materials Science, JAIST, Asahidai 1-1, Nomi, Ishikawa, 923-1292, Japan)
,
Hunkao Rutchapon
(Optical and Quantum Physics Laboratory, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand)
,
Yano Masao
(Advanced Material Engineering Div., Toyota Motor Corporation, 1200, Mishuku, Susono, Shizuoka, 410-1193, Japan)
,
Kimoto Hiroyuki
(Material Creation & Analysis Dept., Material Engineering Div. No. 2, Toyota Motor Corporation, 1, Toyota-cho, Toyota, Aichi, 471-8572, Japan)
,
Hongo Kenta
(Research Center for Advanced Computing Infrastructure, JAIST, Asahidai 1-1, Nomi, Ishikawa, 923-1292, Japan)
,
Hongo Kenta
(Center for Materials Research by Information Integration, Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Tsukuba, 305-0047, Japan)
,
Hongo Kenta
(PRESTO, JST, Kawaguchi, Saitama, 332-0012, Japan)
,
Kawaguchi Shogo
(Japan Synchrotron Radiation Research Institute (JASRI), Sayo-gun, Hyogo, 679-5148, Japan)
,
Suwanna Sujin
(Optical and Quantum Physics Laboratory, Department of Physics, Faculty of Science, Mahidol University, Bangkok, 10400, Thailand)
,
Maezono Ryo
(School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Asahidai 1-1, Nomi, Ishikawa, 923-1292, Japan)
資料名:
Advanced Theory and Simulations
(Advanced Theory and Simulations)
巻:
3
号:
7
ページ:
e2000039
発行年:
2020年
JST資料番号:
W2665A
ISSN:
2513-0390
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)