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 ...

Microplastics—the tiny particles of plastic shed when litter breaks down—are everywhere, from the deep sea to Mount Everest, and many researchers worry that they could harm human health. I am a ...

One way to reduce plastic pollution in the environment is to identify different types of plastic to guarantee efficient waste management. Plastics are one of the most widely utilized products globally ...

A peptide sensor to detect water-soluble polymers in wastewater, a major contributor to pollution on par with microplastics, has been developed by scientists from Tokyo Institute of Technology. The ...

Scripps Research, the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab), and several other collaborating institutions have successfully demonstrated a machine-learning ...

Chemicals of concern in plastics: Number of the chemicals identified as of concern, less hazardous, not hazardous, without data, and under development. The outer circle represents chemicals that are ...

Scratch testing is one of the methods that allow well defined characterization of scratch resistance of polymeric materials, both bulk and coatings such as paints. The scratch technique has therefore ...

Ambuj Tewari receives funding from NSF and NIH. The microplastics project is funded by the “Meet the Moment” initiative of the University of Michigan's College of Literature, Science, and the Arts.

(Nanowerk News) A peptide sensor to detect water-soluble polymers in wastewater, a major contributor to pollution on par with microplastics, has been developed by scientists from Tokyo Institute of ...

A peptide sensor to detect water-soluble polymers in wastewater, a major contributor to pollution on par with microplastics, has been developed. The new technique takes advantage of the bonding that ...