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• Published Subscription Review Article 13 Oct 2025

  The Convergence of AI and Composites - A Review Anchored in Patent Trends

  By Silambarasan B., Gayathiri N.R., Thirumaraiselvi C., Mahendra Boopathi M., Hariprasad P., Gokulkumar S.

  Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …

  Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article →