TSUKUBA, Japan, Oct 25, 2024 - (ACN Newswire) - Polymers such as polypropylene are fundamental materials in the modern world, found in everything from computers to cars. Because of their ubiquity, ...

An interdisciplinary team of researchers has developed a powerful mathematical modelling tool that will allow researchers to predict the properties of polymer networks before they are even created.

Macromolecules and the Journal of Polymer Science published articles on the predictive precision and versatility of this computational technique. Viscoelasticity is an important physical property in ...

The emergence of new and increasingly complex polymers with a broad range of structural and compositional diversity has been a driving force in the development of advanced analytical and separation ...

Polymers have become ubiquitous with the modern age to such a point that nearly any multi-component product will contain some polymer content. From cars to kitchen appliances and airplanes to windows, ...

Polymer flooding is recommended for hydrocarbon reservoirs with high heterogeneity or a high water-oil mobility ratio since the addition of polymer to the injected water increases viscosity, plugs ...

Waters said the co-marketing agreement with Malvern Panalytical will help solve complex molecular characterization challenges. The Waters Acquity Advanced Polymer Chromatography (APC) system and ...

Comprised of repeating chains of bonded molecules that are ordinarily organic, in some cases, polymers may also be inorganic in their composition. For example, natural rubber is a polymer composed of ...

A machine learning algorithm can use X-ray diffraction data from polymers to predict the behaviour of new materials. TSUKUBA, Japan, Oct 25, 2024 - (ACN Newswire) - Polymers such as polypropylene are ...