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Yu Wang

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Jul 2026

Predicting soil-water partition coefficients of PFAS using machine learning: Model development, interpretation, and validation.

PER: and polyfluoroalkyl substances (PFAS) are environmentally persistent contaminants, yet experimental determination of their soil-water partition coefficients (Kd) remains costly and time-consuming. In this study, five machine-learning regression models were developed using 2057 literature-derived batch adsorption d...

Yue Zhou, Hao Chen, Xi Wang et al. · 0 citations

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