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 ...

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 ...

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 ...

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 ...

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 ...

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, ...

Researchers developed a machine learning model that accurately predicts which polyimide structures will form liquid crystalline phases, speeding up the design of thermally conductive polymers for ...

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 ...