A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with molecular simulations. As a proof of concept, the group successfully synthesized ...

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 ...

Polymer-based dielectrics are widely used in different electrical and electronic devices like capacitors, power transmission cables, and microchips. To adapt to different working conditions, a range ...

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 ...

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 ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

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 ...