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...