Machine learning could be key to producing stronger, less corrosive metals

Researchers have studied grain boundaries for decades and gained some insight into the types of properties grain boundaries produce, but no one has been able to nail down a universal system to predict if a certain configuration of atoms at grain boundaries will make a material stronger or more pliable. An interdisciplinary team of researchers have cracked the code by juicing a computer with an algorithm that allows it to learn the elusive ‘why’ behind the boundaries’ qualities.

from Engineering and Construction News – ScienceDaily https://www.sciencedaily.com/releases/2017/08/170808145509.htm

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