文献
J-GLOBAL ID:202002258390633262
整理番号:20A2567548
振動H_2COの機械学習モデル:再生カーネル,FCHLおよびPhysNetの比較【JST・京大機械翻訳】
Machine Learning Models of Vibrating H2CO: Comparing Reproducing Kernels, FCHL, and PhysNet
著者 (5件):
Kaeser Silvan
(Department of Chemistry, University of Basel, Switzerland)
,
Koner Debasish
(Department of Chemistry, University of Basel, Switzerland)
,
Christensen Anders S.
(Institute of Physical Chemistry and National Center for Computational Design and Discovery of Novel Materials (MARVEL), Department of Chemistry, University of Basel, Switzerland)
,
von Lilienfeld O. Anatole
(Institute of Physical Chemistry and National Center for Computational Design and Discovery of Novel Materials (MARVEL), Department of Chemistry, University of Basel, Switzerland)
,
Meuwly Markus
(Department of Chemistry, University of Basel, Switzerland)
資料名:
Journal of Physical Chemistry A
(Journal of Physical Chemistry A)
巻:
124
号:
42
ページ:
8853-8865
発行年:
2020年
JST資料番号:
C0334B
ISSN:
1089-5639
CODEN:
JPCAFH
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)