Two-Stage Machine Learning for Thermo-Mechanical Properties Optimization of Carbon-Filled Polyimide Composites
Highlights A two-stage ML framework decouples processing and formulation optimization. The two-stage strategy allows concurrent improvement of TS and TC. The CF/SA ratio serves as a composition-derived descriptor for interfacial effects. Feature construction enhances model reliability under small-data constraints. Abst...