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Kai-Yuan Zhan

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Open access Sep 2026

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

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 modeling under small-sample conditions. This stu...

Si-Ning Pan, Kai-Yuan Zhan, Shi-Jun Luo et al. · 0 citations

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