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Advanced MaterialsScienceDaily
•Technology
Technology
81% Informative
Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano-architected materials that have the strength of carbon steel but the lightness of Styrofoam .
The approach could benefit a wide range of industries, from automotive to aerospace.
"This was a multi-faceted project that brought together various elements from material science, machine learning, chemistry and mechanics to help us understand how to improve and implement this technology," says Peter Serles .
"Our next steps will focus on further improving the scale up of these material designs to enable cost effective macroscale components".
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