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 ...

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 ...

Liquid electrolytes enable fast ion transport but can raise safety concerns, and lithium metal anodes—despite their high capacity—can grow dendrites that trigger short circuits and rapid failure.

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 ...

Listen to how Arkema Inc. optimizes polymer analysis in this podcast Arkema Inc., aside from being a valued customer, is a specialty chemicals and advanced materials company. In this podcast, three ...

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, ...

Sentherm’s thermally conductive polymer formulations achieve 1.5-5.0 W/m·K through-thickness conductivity range, with results up to 18.88 W/m·K in certain polymers, using hybrid conductive filler ...

This series of articles is designed to help molders understand how a few analytical tools can help diagnose a part failure problem. Michael Sepe is our analyst and author. He is the technical director ...

This series of articles is designed to help molders understand how a few analytical tools can help diagnose a part failure. Michael Sepe is our analyst and author. He is the technical director at ...