Sining Pan

Enhancing bending load prediction of CaCO₃-filled polypropylene composites via data augmentation and ensemble machine learning

Abstract Predicting the mechanical properties of calcium carbonate (CaCO₃)-filled polypropylene (PP) composites is crucial for their industrial applications. However, conventional experiments are costly and time-consuming, resulting in limited data and challenges for accurate mod...