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.

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

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 ...

With rapid advances in high-throughput computing, machine learning (ML), and artificial intelligence (AI) applications, polymer informatics is emerging as a promising tool to ensure breakthrough ...

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 ...

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 ...

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 ...

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 ...