machine learning

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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.

Sandia uncovers hidden factors that affect solar farms during severe weather

News Article, August 31, 2021 • Machine learning found farm age, cloud cover impact performance during a storm Sandia National Laboratories researchers combined large sets of real-world solar data and advanced machine learning to study the impacts of severe weather on U.S. solar farms, and sort out what factors affect energy generation. Their results were published...
Thushara Gunda and Nicole Jackson in front of a PV panel