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.

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

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

The rapid global transition toward sustainable and renewable energy systems is driving an urgent need for advanced materials that combine high efficiency, ...

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.

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 ...

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 ...

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, ...

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 ...

Thermally conductive polymer composites consist of fillers oriented in certain directions that form pathways for heat flow. However, conventional methods to control the orientation of these fillers ...

These 'polymer alloy' composition changes have enabled the creation of materials with optimized toughness, processability, chemical resistance, and cost structures. Polymer blends and polymer alloys ...