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March 3, 2026Polymer0 citations

Data-driven models toward polymer glass transition temperature embedded in structures

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YWYue WangQingdao University of Science and TechnologyCYCaijuan YangPetro-CanadaXSXiaoyan SunQingdao University of Science and Technology

Key Points

  • Prediction of glass transition temperature enhances understanding of polymer behavior.
  • Models utilize thermodynamic principles to provide accurate temperature estimates.
  • Analysis focused on polymers used in various embedded structural applications.
  • Implications include improved performance and longevity of polymer-based materials.
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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/69a75d0ec6e9836116a267a5https://doi.org/10.1016/j.polymer.2026.129664
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