Machine learning (ML) has emerged as a transformative tool in polymer science, enabling researchers to predict material properties and guide polymer design with unprecedented speed and precision.

Modern polymer materials face a fundamental challenge: they must remain strong and durable during use, yet ideally degrade ...

The words on this page mean something because they are assembled in a particular order and follow the complex rules of ...

Researchers at Koç University have developed a light-driven method to produce porous semiconducting polymers under ambient ...

Priyanka Ketkar, a doctoral researcher working with Professor Thomas H. Epps, III, in the University of Delaware's College of Engineering, has been selected for a prestigious National ...

Scientists have created a novel thermoresponsive polymer by adding divalent cations to polymers and water solvents. They also succeeded in controlling thermoresponsive properties by changing the type ...

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Polymer materials play an increasingly important role in a variety of industrial applications, thanks to their distinct physical and chemical properties. Among their key mechanical characteristics, ...

Polymer blends and alloys offer diverse properties through efficient and inexpensive manufacturing methods, making them applicable in several applications. 2 With increasing environmental concerns and ...

The method of fabricating structures and devices at the nanoscale, known as nanofabrication, has resulted in major developments in several fields, such as electronics, medicine, and materials science.

A research team at Georgia Tech has built what it calls the first generative AI system purpose-built for polymer design, and ...