“pySiRC”: Machine Learning Combined with Molecular Fingerprints to Predict the Reaction Rate Constant of the Radical-Based Oxidation Processes of Aqueous Organic Contaminants-Reference-Cited by-同舟云学术

“pySiRC”: Machine Learning Combined with Molecular Fingerprints to Predict the Reaction Rate Constant of the Radical-Based Oxidation Processes of Aqueous Organic Contaminants

Published:2021-09-02 Issue:18 Volume:55 Page:12437-12448
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Sanches-Neto Flávio Olimpio¹^ORCID,Dias-Silva Jefferson Richard²,Keng Queiroz Junior Luiz Henrique²,Carvalho-Silva Valter Henrique¹³^ORCID

Affiliation:

1. Instituto de Química, Universidade de Brasília, Caixa Postal 4478, Brasília 70904-970, Brazil

2. Instituto de Química, Universidade Federal de Goiás, Caixa Postal 131, Goiânia 74001-970, Goiás, Brazil

3. Modeling of Physical and Chemical Transformations Division, Theoretical and Structural Chemistry Group, Goiás State University, Anápolis 75132-903, Brazil

Funder

Funda????o de Amparo ?? Pesquisa do Estado de Goi??s

Conselho Nacional de Desenvolvimento Cient??fico e Tecnol??gico

Coordena????o de Aperfei??oamento de Pessoal de N??vel Superior

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.1c04326

Reference83 articles.

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