Predicting Rate Constants of Reactive Chlorine Species toward Organic Compounds by Combining Machine Learning and Quantum Chemical Calculation-Reference-Cited by-同舟云学术

Predicting Rate Constants of Reactive Chlorine Species toward Organic Compounds by Combining Machine Learning and Quantum Chemical Calculation

Published:2023-08-29 Issue:9 Volume:10 Page:804-809
ISSN:2328-8930
Container-title:Environmental Science & Technology Letters
language:en
Short-container-title:Environ. Sci. Technol. Lett.

Author:

Zheng Shanshan¹,Qin Wenlei²,Ji He²,Guo Wanqian¹^ORCID,Fang Jingyun²^ORCID

Affiliation:

1. State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China

2. Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-Sen University, Guangzhou 510275, China

Funder

State Key Laboratory of Urban Water Resource and Environment

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Water Science and Technology,Ecology,Environmental Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.estlett.3c00494

Reference39 articles.

1. Reactions of chlorine with inorganic and organic compounds during water treatment—Kinetics and mechanisms: A critical review

2. Radical Chemistry and Structural Relationships of PPCP Degradation by UV/Chlorine Treatment in Simulated Drinking Water

3. Factors affecting the roles of reactive species in the degradation of micropollutants by the UV/chlorine process

4. Rate Constants and Mechanisms of the Reactions of Cl• and Cl2•– with Trace Organic Contaminants

5. The reactions of chlorine dioxide with inorganic and organic compounds in water treatment: kinetics and mechanisms

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