Polymer film capacitors for energy storage applications at high temperature have shown
great potential in modern electronic and electrical systems such as those used in aerospace …

In the field of polymer informatics, utilizing machine learning (ML) techniques to evaluate the
glass transition temperature T g and other properties of polymers has attracted extensive …

Polymer materials are multiscale systems by definition. Already the description of a single
macromolecule involves a multitude of scales, and cooperative processes in polymer …

To formulate a machine learning (ML) model to establish the polymer's structure-property
correlation for glass transition temperature T g, we collect a diverse set of nearly 13,000 real …

Epoxy resins with a network structure, which are obtained by curing reactions of epoxy and
amine compounds, are an important class of thermosetting resins. We here report the …

This is a review article of Generative Topographic Mapping (GTM)–a non-linear
dimensionality reduction technique producing generative 2D maps of high-dimensional …

In the present work, we address the problem of utilizing machine learning (ML) methods to
predict the thermal properties of polymers by establishing “structure–property” relationships …

A binary resin system combing epoxy and phenol–formaldehyde is proposed for improving
the thermo-mechanical behavior of FRP composites. Five types of FRP plates with varying …

Cross-linking is known to play a pivotal role in the relaxation dynamics and mechanical
properties of thermoset polymers, which are commonly used in structural applications …

Polymers with exceptional heat resistance are critically valuable in numerous domains,
particularly as essential components of flexible organic light-emitting diodes. Among these …