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.

Machine learning, a tool increasingly used for the discovery and design of new materials, has now been adopted by researchers to design polymer brush films with desirable protein adsorption properties ...

How can AI enhance polymers to develop the next generation of bioelectronics? This is what a recent study published in the journal Matter hopes to address as a team of researchers investigated new ...

Hundreds of millions of tons of polymer materials are produced globally for use in a vast and ever-growing application space with new material demands such as green chemistry polymers, consumer ...

Polymers, such as plastics, are essential in many aspects of life and industry, from packaging and cars to medical devices and optic fibers. Their value comes from diverse properties that are largely ...

Conducting polymers have emerged as a pivotal class of materials for advanced optoelectronic applications owing to their tunable molecular structure, ...

Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...

Polymer brush films consists of monomer chains grown in close proximity on a substrate. The monomers, which look like “bristles” at the nanoscale, form a highly functional and versatile coating such ...