文献
J-GLOBAL ID:202202250806947719
整理番号:22A0326115
水素製造のための不均一ベース触媒反応における密度汎関数理論と機械学習の応用【JST・京大機械翻訳】
Application of density functional theory and machine learning in heterogenous-based catalytic reactions for hydrogen production
著者 (3件):
Ugwu Lord Ikechukwu
(Clean Energy Technologies Research Institute (CETRI), Process Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, 3737 Wascana Parkway Regina, SK, S4S 0A2, Canada)
,
Morgan Yasser
(Software Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, 3737 Wascana Parkway Regina, SK, S4S 0A2, Canada)
,
Ibrahim Hussameldin
(Clean Energy Technologies Research Institute (CETRI), Process Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, 3737 Wascana Parkway Regina, SK, S4S 0A2, Canada)
資料名:
International Journal of Hydrogen Energy
(International Journal of Hydrogen Energy)
巻:
47
号:
4
ページ:
2245-2267
発行年:
2022年
JST資料番号:
B0192B
ISSN:
0360-3199
資料種別:
逐次刊行物 (A)
記事区分:
文献レビュー
発行国:
イギリス (GBR)
言語:
英語 (EN)