Art

J-GLOBAL ID：202002266741180783   Reference number：20A0574836

Machine learning prediction of the potential pesticide applicability of three dihydroquinoline derivatives: Syntheses, crystal structures and physical properties

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】

Author (7)： 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)
Material： Journal of Molecular Structure  (Journal of Molecular Structure (THEOCHEM))
Volume： 1206  Page： Null  Publication year： 2020 
JST Material Number： B0948B  ISSN： 0022-2860  Document type： Article
Article type： 原著論文  Country of issue： Netherlands (NLD)  Language： ENGLISH (EN)

Abstract/Point： Increasingly machine learning ...

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Thesaurus term： dimer ,  pesticide ,  crystallization ,  density functional method ,  *crystal structure ,  *machine learning ,  monoclinic system ,  molecular structure ,  Fusarium ,  rhombic system ,  *insecticide ,  molecular orbital ,  hydrogen bond ,  tobacco mosaic virus ,  steric conformation

Author keywords (5)： Machine learning model ,  Tobacco mosaic virus ,  Fusarium oxysporum ,  dihydroquinoline ,  Crystal structure

JST classification (4)： Electronic structure of molecules  (BH05010Q) ,  Gevmetry of molecules in general  (BH05021S) ,  Other organic reactions  (CF02100O) ,  Atomic and molecular clusters  (BH09030O)

Terms in the title (6)： 誘導体 ,  殺虫剤 ,  機械学習 ,  予測 ,  結晶構造 ,  物理的性質