Machine Learning‐Based Prediction of Polypropylene Molecular Weight Distribution for Film Capacitor Applications
This study proposes a machine learning‐based model for predicting the molecular weight distribution (MWD) of polypropylene, aiming to optimize the performance of dielectric materials for film capacitors. A database was established by collecting 233 sets of experimental data from published literature, with 10 influe...