How machine learning could vastly speed up the search for new metals
Naomi Gleit
Synopsis
Currently, scientists run experiments in the lab to look for ways to combine metals to create new ones. It’s a laborious process of trial and error that inevitably yields more duds than useful results. But new research suggests that with AI, scientists can far more precisely predict which combinations of metals will show promise.
Tammy XuMachine learning could help develop new types of metals with useful properties, such as resistance to extreme temperatures and rust, according to new research. This could be useful in a range of sectors—for example, metals that perform well at lower temperatures could improve spacecraft, while metals that resist corrosion could be used for boats and submarines. Currently, scientists typically run experiments in the lab to look for ways
BY
MIT
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