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 team published their method and experimental validation on Nov. 8 in npj Computational Materials. “Materials informatics (MI), a new branch of materials research that combines materials data with ...

The field of polymer science has seen a transformative evolution with the development of self-healing biodegradable materials ...

In the dynamic realm of materials science, polymer nanocomposites have emerged as a revolutionary class of materials with unparalleled versatility and performance. From automotive engineering to ...

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 ...

Chemist Jeff Foster is looking for ways to control sequencing in polymers that could result in designer molecules to benefit a variety of industries, including medicine and energy. Using the ...

The structure of semi-crystalline polymers largely depends on how strongly their molecular chains are entangled. Following numerous experiments, researchers developed a new model to predict the ...

Scientists developing new biomaterials often try to mimic the body's natural proteins, but a chemist shows that simpler polymers -- based on a handful of plastic building blocks -- also work well.

Two University of Iowa faculty members have been awarded funding from the National Science Foundation to develop new plastic ...

The Polymer Science doctoral program is designed to provide students with a background in advanced course work and laboratory techniques that will prepare them to carry out an original investigation ...