A machine learning method developed by researchers from the Institute of Science Tokyo, the Institute of Statistical Mathematics, and other institutions accurately predicts liquid crystallinity of ...

For semi-crystalline polymers, the crystallinity rate is a key parameter which directly influences mechanical properties, such as mechanical resistance or stiffness, as well as thermal and gas barrier ...

Poly (Lactic Acid) (PLA) is one of the most researched bio-based polymers. However, regarding processing and injection molding specifically, PLA has some challenges that limit its applications. The ...

eoregularity in the polymer main chain. Accordingly, polymers with low stereoregularity (atactic polymers) tend to be less valuable materials; for example, polypropylene can be a useful material only ...

In a previous article we reviewed rapid forming of thermoplastic composites (TPC). In the second part of this three-part series, we’ll explore the thermal processes and how these can be managed, ...

But here’s the challenge: traditional QA/QC methods are often slow, hands-on, and destructive. They rely on solvent-based extraction or other time-consuming processes that are unable to keep up with ...