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Machine Learning-Driven Kinetic Optimization of Hydroxylamine-Modified Transition Metal Oxide/Peroxymonosulfate System for Antibiotic Degradation.

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Title: Machine Learning-Driven Kinetic Optimization of Hydroxylamine-Modified Transition Metal Oxide/Peroxymonosulfate System for Antibiotic Degradation.
Authors: Li, Zhixuan1 (AUTHOR), Li, Jianwei1,2 (AUTHOR), Zeng, Ao2,3 (AUTHOR), Lian, Xi1,4 (AUTHOR), Zhou, Wenjun3,5 (AUTHOR), Xie, Shuyi1,4 (AUTHOR), Wu, Pengjun2,5 (AUTHOR)
Source: Water (20734441). Apr2026, Vol. 18 Issue 8, p945. 19p.
Database: Environment Complete
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DbLabel: Environment Complete
An: 193439686
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PubType: Academic Journal
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  Data: Machine Learning-Driven Kinetic Optimization of Hydroxylamine-Modified Transition Metal Oxide/Peroxymonosulfate System for Antibiotic Degradation.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Apr2026, Vol. 18 Issue 8, p945. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=193439686
RecordInfo BibRecord:
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        Value: 10.3390/w18080945
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      – Code: eng
        Text: English
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      – TitleFull: Machine Learning-Driven Kinetic Optimization of Hydroxylamine-Modified Transition Metal Oxide/Peroxymonosulfate System for Antibiotic Degradation.
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              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
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