A deep neural network combined with molecular fingerprints (DNN-MF) to develop predictive models for hydroxyl radical rate constants of water contaminants.

Zhong, Shifa; Hu, Jiajie; Fan, Xudong; Yu, Xiong; Zhang, Huichun

Zhong, Shifa; Hu, Jiajie; Fan, Xudong; Yu, Xiong; Zhang, Huichun.

Afiliação

Zhong S; Department of Civil Engineering, Case Western Reserve University, 2104 Adelbert Road, Cleveland, OH 44106-7201, USA.
Hu J; Department of Electrical Engineering and Computer Science, Case Western Reserve University, 2104 Adelbert Road, Cleveland, OH 44106-7201, USA.
Fan X; Department of Civil Engineering, Case Western Reserve University, 2104 Adelbert Road, Cleveland, OH 44106-7201, USA.
Yu X; Department of Civil Engineering, Case Western Reserve University, 2104 Adelbert Road, Cleveland, OH 44106-7201, USA; Department of Electrical Engineering and Computer Science, Case Western Reserve University, 2104 Adelbert Road, Cleveland, OH 44106-7201, USA.
Zhang H; Department of Civil Engineering, Case Western Reserve University, 2104 Adelbert Road, Cleveland, OH 44106-7201, USA. Electronic address: hjz13@case.edu.

J Hazard Mater ; 383: 121141, 2020 02 05.

Article em En | MEDLINE | ID: mdl-31610411

Palavras-chave

Advanced oxidation processes; Deep neural network; Hydroxyl radical; Molecular fingerprints; QSAR; Water treatment

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Hazard Mater Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Holanda

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google