Harnessing Machine Learning to Enhance UV-based Advanced Oxidation Processes for Sustainable Micropollutant Abatement.
- DOI
- 10.1021/acs.est.6c00957
- Published
- 2026 Sep 1
- Container
- Environmental science & technology
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1021/acs.est.6c00957,
title = {Harnessing Machine Learning to Enhance UV-based Advanced Oxidation Processes for Sustainable Micropollutant Abatement.},
author = {Li B and Zhang Z and Yi X and Shang C and Fan Y and Wang J and Yin R and Ren X},
year = {2026},
journal = {Environmental science \& technology},
doi = {10.1021/acs.est.6c00957},
url = {https://doi.org/10.1021/acs.est.6c00957}
}RIS
TY - JOUR TI - Harnessing Machine Learning to Enhance UV-based Advanced Oxidation Processes for Sustainable Micropollutant Abatement. AU - Li B AU - Zhang Z AU - Yi X AU - Shang C AU - Fan Y AU - Wang J AU - Yin R AU - Ren X PY - 2026 JO - Environmental science & technology DO - 10.1021/acs.est.6c00957 UR - https://doi.org/10.1021/acs.est.6c00957 ER -
APA
B, L., Z, Z., X, Y., C, S., Y, F., J, W., R, Y., & X, R. (2026). Harnessing Machine Learning to Enhance UV-based Advanced Oxidation Processes for Sustainable Micropollutant Abatement.. Environmental science & technology. https://doi.org/10.1021/acs.est.6c00957
Source records
- pubmed · retrieved 2026-09-25T03:01:43.388Z