Journal of chemical information and modelingPolymersTransition TemperatureGlassMachine Learning
Dual Embedding: A Fine-Tuned Language Model Approach for Accurate Polymer Glass Transition Temperature Prediction.
Aymar Tchagoue, Véronique Eglin, Jean-Marc Petit, Sébastien Pruvost, Jannick Duchet-Rumeau, Jean-François Gérard
Published: 202510.1021/acs.jcim.5c02469
Abstract
Recent years have witnessed major advances in polymer informatics, yet accurately predicting polymer properties, such as the glass transition temperature (Tg), remains a challenge. Language models like BERT have been leveraged to derive embeddings fr…
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