The IAEA is inviting research organizations to join a new project that will use machine learning to better predict structural changes in polymers caused by ionizing radiation. Rad ...

An image of a butterfly printed using a structural-color polymer. Credit: Dong Yang/Nat. Commun. The researchers based the model on block copolymers composed of ...

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.

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 ...

A sample of a DUCKY polymer membrane researchers created to perform the initial separation of crude oils using significantly less energy. A new kind of polymer membrane created by researchers at ...

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 ...

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 ...