文献
J-GLOBAL ID:202002234802720876
整理番号:20A1917461
非第一原理計算量による単原子吸着エネルギーの機械学習予測【JST・京大機械翻訳】
Machine learning prediction of monatomic adsorption energies with non-first-principles calculated quantities
著者 (3件):
Liu Zhi-Hui
(Institute of Theoretical and Computational Chemistry, Key Laboratory of Mesoscopic Chemistry of MOE, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China)
,
Shi Tao-Tao
(Institute of Theoretical and Computational Chemistry, Key Laboratory of Mesoscopic Chemistry of MOE, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China)
,
Chen Zhao-Xu
(Institute of Theoretical and Computational Chemistry, Key Laboratory of Mesoscopic Chemistry of MOE, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China)
資料名:
Chemical Physics Letters
(Chemical Physics Letters)
巻:
755
ページ:
Null
発行年:
2020年
JST資料番号:
B0824A
ISSN:
0009-2614
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)