1 publication

• Published Subscription Original Research 9 Sep 2026

  Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites

  By Ganesh P. Dawange, Bhushan S. Chaudhari, P. William, Atul A. Barhate, Sharad Ninu Kolte, Amit V. Mohod, Dipesh B. Pardeshi

  Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article →