materials characterization

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• Published Subscription Original Research Special issue 20 Jun 2026

  Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems

  By Prashant V. Thokal, P. William, Ganesh P. Dawange, Dharmendra Kumar Roy, Pravin B. Khatkale

  Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article →