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Sept. 13, 2018
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 Image by Jeannette Yusko and Ryan Chen/LLNL.

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LLNL explores machine learning to prevent defects in metal 3D-printed parts in real time

Jeremy Thomas/LLNL

LLNL researchers have developed machine learning algorithms capable of processing the data obtained during metal 3D printing in real time and detecting within milliseconds whether a 3D part will be of satisfactory quality. Read more at LLNL News.

Tags:Machine Learning/Materials and Advanced Manufacturing/Neural Network
Jeremy Thomas/LLNL

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