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

Wednesday, August 9, 2017 - 08:02 in Mathematics & Economics

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.

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