Prediction of second-order rate constants for reactions between contaminants and reactive species by a ChemBERTa-based QSAR model.
Accurate prediction of second-order rate constants (k) for reactions between contaminants and reactive species (RS) is essential for understanding transformation pathways and optimizing advanced oxidation/reduction processes (AOPs/ARPs). However, existing QSAR models mostly rely on manually engineered molecular descrip...