文献
J-GLOBAL ID:202002266741180783
整理番号:20A0574836
3つのジヒドロキノリン誘導体の潜在的殺虫剤適用性の機械学習予測:合成,結晶構造および物理的性質【JST・京大機械翻訳】
Machine learning prediction of the potential pesticide applicability of three dihydroquinoline derivatives: Syntheses, crystal structures and physical properties
著者 (7件):
Vaz Wesley F.
(Universidade Estadual de Goias, 75132-400, Anapolis, GO, Brazil)
,
Vaz Wesley F.
(Instituto Federal de Educacao, Ciencia e Tecnologia de Mato Grosso, 78455-000, Lucas do Rio Verde, MT, Brazil)
,
D’Oliveira Giulio D.C.
(Universidade Federal de Goias, 74690-900, Goiania, GO, Brazil)
,
Perez Caridad N.
(Universidade Federal de Goias, 74690-900, Goiania, GO, Brazil)
,
Neves Bruno J.
(Universidade Federal de Goias, 74690-900, Goiania, GO, Brazil)
,
Napolitano Hamilton B.
(Universidade Estadual de Goias, 75132-400, Anapolis, GO, Brazil)
,
Napolitano Hamilton B.
(Centro Universitario de Anapolis, 75075-010, Anapolis, GO, Brazil)
資料名:
Journal of Molecular Structure
(Journal of Molecular Structure)
巻:
1206
ページ:
Null
発行年:
2020年
JST資料番号:
B0948B
ISSN:
0022-2860
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)