glass‑transition temperature

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• Published Subscription 11 Mar 2026

  A Study on Machine-Learning-Driven Insight into theThermal Behavior of Polymers and Composite Materials

  By Heena T Shaikh, Dr. Kazi Kutubuddin Sayyad Liyakat

  Abstract: The thermal performance of polymeric and composite systems underpins their suitability for aerospace, electronics, and energy‑storage applications, yet reliable prediction of temperature‑dependent properties remains a formidable challenge. In this work we present a data‑driven framework that harnesses modern machine‑learning (ML) techniques to forecast key thermal metrics – glass‑transition temperature (Tg), melting point (Tm), thermal conductivity (k), and decomposition onset (Td) – from a chemically informed descriptor space. A curated database …

  Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article →