文献
J-GLOBAL ID:202202293647178986
整理番号:22A0322189
光ファイバ温度測定に基づく機械学習を用いた消光挙動の高分解能予測【JST・京大機械翻訳】
High-resolution prediction of quenching behavior using machine learning based on optical fiber temperature measurement
著者 (3件):
Kim Kyung Mo
(Mechanical Engineering Department, Virginia Polytechnic Institute and State University, 635 Prices Fork Road, Blacksburg, VA 24060, United States)
,
Hurley Paul
(Mechanical Engineering Department, Virginia Polytechnic Institute and State University, 635 Prices Fork Road, Blacksburg, VA 24060, United States)
,
Duarte Juliana Pacheco
(Mechanical Engineering Department, Virginia Polytechnic Institute and State University, 635 Prices Fork Road, Blacksburg, VA 24060, United States)
資料名:
International Journal of Heat and Mass Transfer
(International Journal of Heat and Mass Transfer)
巻:
184
ページ:
Null
発行年:
2022年
JST資料番号:
C0390A
ISSN:
0017-9310
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)