For the first time, researchers have reported a new family of materials that maintains its conductivity in liquid, liquid ...

Semiconductor moiré superlattices are fascinating material structures that have been found to be promising for studying correlated electron states and quantum physics phenomena. These structures, made ...

Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...

A new machine learning tool developed at Princeton will enable researchers to sift through trillions of design options to predict which metal organic framework will be useful in laboratories or ...

A multi-disciplinary team of researchers linked atomic-scale features to efficient heat-to-electricity conversion, offering ...

Every summer, our cities burn energy to keep us cool. The same happens in winter with the increasing demand for heating.

Researchers at the University of Toronto have created this stunning material by merging machine learning (AI) with nanoscale engineering. The breakthrough could transform industries from aerospace to ...