A team of researchers from KU Leuven, the University of Aveiro, OLYMAT, the University of the Basque Country UPV/EHU and the Ikerbasque, Basque Foundation for Science has used a scanning tunneling ...

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 ...

In this interview, AZoM talks to Dirk Leister from Thermo Fisher Scientific about the role of torque rheometers in the field of polymer compound development. To start, could you give a brief overview ...

This article explores how the Citrine Platform applies advanced artificial intelligence to help polymer manufacturers address sustainability challenges while maintaining performance and profitability.

Researchers at the Department of Energy (DoE) have discovered a surprising way to improve the properties of polymers by blending nanoparticles with polymer materials. A team of scientists led by the ...

The world is a big place. Across its wide expanse are hundreds of facilities where a drug company can have a pharmaceutical active ingredient made to order. If the active ingredient happens to be a ...

FET designs, develops and manufactures extrusion equipment for a range of high value textile material applications worldwide, offering melt spinning, wet spinning and spunbond/meltblown options. Since ...

Peak Nano, a manufacturer of polymer metamaterials, has unveiled NanoPlex Films as a Service (FaaS), a platform that redefines polymer film innovation. By leveraging more than 60 years of expertise in ...

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 ...