Chemically-informed active learning enables data-efficient multi-objective optimization of self-healing polyurethanes

A chemically-informed active learning (CIAL) framework synergizes chemical knowledge with machine learning to achieve multi-objective optimization of self-healing polyurethanes with only 20 samples, overcoming traditional material design trade-offs.