Scientists at the U.S. Department of Energy's Oak Ridge National Laboratory (ORNL) are training microscopes to find new materials faster using an intuitive algorithm.
The lab workflow incorporates human-based physical reasoning within machine learning techniques, using images obtained from less than 1% of the sample; the algorithm chooses points of interest based on what it learns within the experiment, and on knowledge gained externally.
ORNL's Maxim Ziatdinov said, "The workflow was applied to material systems familiar to the research community and made a fundamental finding, something not previously known, very quickly—in this case, within a few hours."
From Oak Ridge National Laboratory
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