Classification and Regression Machine Learning Models for Predicting Aerobic Ready and Inherent Biodegradation of Organic Chemicals in Water-Reference-Cited by-同舟云学术

Classification and Regression Machine Learning Models for Predicting Aerobic Ready and Inherent Biodegradation of Organic Chemicals in Water

Published:2022-08-16 Issue:17 Volume:56 Page:12755-12764
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Huang Kuan¹^ORCID,Zhang Huichun¹^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering, Case Western Reserve University, Cleveland, Ohio 44106, United States

Funder

Division of Chemistry

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.2c01764

Reference50 articles.

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2. Environmental biodegradation of synthetic polymers I. Test methodologies and procedures

3. Aropha. Biodegradation Test Method Overview: Aropha Resource Center; Aropha Inc., 2022. https://www.resources.aropha.com/docs/test-methods/biodegradation-test-method-overview/ (accessed 06/20/2022).

4. Quantitative Structure–Activity Relationship Models for Ready Biodegradability of Chemicals

5. Prioritization of in silico models and molecular descriptors for the assessment of ready biodegradability

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