Machine learning (ML) has emerged as a transformative tool in polymer science, enabling researchers to predict material properties and guide polymer design with unprecedented speed and precision.

A new technique builds inorganic and polymer battery electrolytes at the same time, in the same vessel. This 'one-pot' in-situ method creates a controlled, homogeneous blend, pairing the conductivity ...

Effect of molecular weight toward tensile properties in the present biobased polyesters, HP1. The plots of PE-18,18 (polyester-18,18, reported biobased), and ...

A persistent driver is the demand for lightweight materials that retain mechanical integrity under thermal and chemical stress. High-performance polymers, exemplified by polyether ether ketone (PEEK), ...

In the dynamic realm of materials science, polymer nanocomposites have emerged as a revolutionary class of materials with unparalleled versatility and performance. From automotive engineering to ...