Polyurethanes are a broad class of material that finds application in coatings, foams, and
solid elastomers. The urethane chemistry allows a diversity of monomers to be used, and …

Predicting the properties of complex polymeric materials based on monomer chemistry
requires modeling physical interactions that bridge molecular, interchain, microstructure …

Bridging the gap between the computation of mechanical properties and the chemical
structure of elastomers is a long-standing challenge. To fill the gap, we create a raw dataset …

The glass transition temperature (T g) is a fundamental property of polymers that strongly
influences both mechanical and flow characteristics of the material. In many important …

Mechanistic understanding of the mechanical properties of elastomeric thermoplastic
polyurethane (TPU) rely on the hard segment content (HSC) as the sole predictor of …

Polyurethane elastomers (PUEs) are broadening applications attributed to their highly
tunable mechanical properties, and the stress–strain curve is one of the most important …

Polyamides are often used for their superior thermal, mechanical, and chemical properties.
They form a diverse set of materials that have a large variation in properties between linear …

This article investigates the utility of machine learning (ML) methods for predicting and
analyzing the diverse physical characteristics of polymers. Leveraging a rich dataset of …

Polymers are incredibly versatile materials and have become ubiquitous. Increasingly,
researchers are using data science and polymer informatics to design new materials and …

The artificial intelligence-based prediction of the mechanical properties derived from the
tensile test plays a key role in assessing the application profile of new polymeric materials …