| 标题 |
Density Functional Theory and Machine Learning-Based Quantitative Structure–Activity Relationship Models Enabling Prediction of Contaminant Degradation Performance with Heterogeneous Peroxymonosulfate Treatments |
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| DOI | |
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(2025-6-4)