Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Everyday items like car tires, plastic bags and foam cushions come from materials called polymers that can take years to ...
How architects embrace scientific methods, experiment with materials, and expand their role through interdisciplinary and ...
Shark experts tested four innovative wetsuit materials to measure how well they reduce shark-bite injuries. The results show ...
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Atomic neighborhoods in semiconductors provide new avenue for designing microelectronics
Inside the microchips powering the device you're reading this on, the atoms have a hidden order all their own. A team led by ...
Materials Science & Engineering Ph.D. student Tolin Skov-Black has been awarded the U.S. Department of Energy (DOE) University Nuclear Leadership Program (UNLP) fellowship. The fellowship provides ...
A study published in Journal of Railway Science and Technology developed a class of polymer fiber-reinforced concrete that ...
Professor Yonggang Huang is one of 74 fellows elected this year, and one of nine international fellows picked.
Cambridge scientists have created a breakthrough material that can sense tiny chemical changes in the body, such as the ...
SweetNight launches the CoolNest Mattress, combining advanced cooling materials and ergonomic engineering to redefine ...
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