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Algorithm could shorten quality testing, research in many industries by months

News Article, February 16, 2022 • Machine learning used to predict direction-dependent mechanical properties of metals A machine-learning algorithm developed at Sandia could provide auto manufacturing, aerospace and other industries a faster and more cost-efficient way to test bulk materials. The technique was published recently in the scientific journal Materials Science and Engineering: A. Production stoppages are...
Sandia researchers examine data generated by the machine-learning algorithm Material Data Driven Design.