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Prediction of Properties of Polymer Composite Formulations Using Ensemble Models With Feature Generation

open access: yesJournal of Applied Polymer Science, Volume 143, Issue 25, July 5, 2026.
This study develops an interpretable machine‐learning framework to predict multiple properties of polymer composites based on composition and processing variables. By combining ensemble models with composition‐based feature generation and SHAP‐based interpretation, the approach reveals composition‐property relationships and supports efficient multi ...
Dong Ryeol Shin, Sung Kwang Lee
wiley   +1 more source

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