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 ...

A new study led by Colorado State University Distinguished Professor Eugene Chen outlines a path to creating advanced, recyclable plastics. Published in Nature, the study describes a breakthrough ...

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 ...

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 ...

The Polymer Science doctoral program is designed to provide students with a background in advanced course work and laboratory techniques that will prepare them to carry out an original investigation ...

Polymer blends and alloys offer diverse properties through efficient and inexpensive manufacturing methods, making them applicable in several applications. 2 With increasing environmental concerns and ...

AKRON, Ohio – The University of Akron is ranked No. 1 in the world for polymer science and plastics engineering, according to recent rankings from EduRank.org. The rankings are based on universities’ ...