Machine learning-assisted design of the molecular structure of p-phenylenediamine antioxidants

This study used machine learning to predict solubility parameter ( δ ) and bond dissociation energy (BDE) of antioxidant molecules, focusing on p -phenylenediamine derivatives with varied carbon chain lengths and functional groups.