Machine Learning-Assisted QSAR Models on Contaminant Reactivity Toward Four Oxidants: Combining Small Data Sets and Knowledge Transfer.

Zhong, Shifa; Zhang, Yanping; Zhang, Huichun

Zhong, Shifa; Zhang, Yanping; Zhang, Huichun.

Afiliação

Zhong S; Department of Civil and Environmental Engineering, Case Western Reserve University, 2104 Adelbert Road, Cleveland, Ohio 44106-7201, United States.
Zhang Y; School of Civil Engineering and Transportation, Hebei University of Technology, Tianjin 300401, China.
Zhang H; Department of Civil and Environmental Engineering, Case Western Reserve University, 2104 Adelbert Road, Cleveland, Ohio 44106-7201, United States.

Environ Sci Technol ; 56(1): 681-692, 2022 01 04.

Article em En | MEDLINE | ID: mdl-34908403

Assuntos

Oxidantes; Ozônio; Aprendizado de Máquina; Relação Quantitativa Estrutura-Atividade

Palavras-chave

ClO2; HClO; QSARs; knowledge transfer; multitask learning; oxidation rate constants; ozone; sulfate radicals

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ozônio / Oxidantes Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Sci Technol Ano de publicação: 2022 Tipo de documento: Article

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