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Data-driven models toward polymer glass transition temperature embedded in structures | Synapse
March 3, 2026
Data-driven models toward polymer glass transition temperature embedded in structures
YW
Yue Wang
CY
Caijuan Yang
XS
Xiaoyan Sun
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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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Wang et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75d0ec6e9836116a267a5
https://doi.org/https://doi.org/10.1016/j.polymer.2026.129664
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