文献
J-GLOBAL ID:202002216709102329
整理番号:20A1257656
ポテンシャルエネルギー面の階層的機械学習【JST・京大機械翻訳】
Hierarchical machine learning of potential energy surfaces
著者 (4件):
Dral Pavlo O.
(State Key Laboratory of Physical Chemistry of Solid Surfaces, Fujian Provincial Key Laboratory of Theoretical and Computational Chemistry, Department of Chemistry, and College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, China)
,
Owens Alec
(Department of Physics and Astronomy, University College London, Gower Street, WC1E 6BT London, United Kingdom)
,
Dral Alexey
(BigData Team, 1A Tormoznoye Shosse Off 17, Yaroslavl, Yaroslavl 150022, Russian Federation)
,
Csanyi Gabor
(Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom)
資料名:
Journal of Chemical Physics
(Journal of Chemical Physics)
巻:
152
号:
20
ページ:
204110-204110-11
発行年:
2020年
JST資料番号:
C0275A
ISSN:
0021-9606
CODEN:
JCPSA6
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)