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Self-Driving Microscopes Discover Shortcuts to New Materials


A smart approach to microscopy and imaging developed at Oak Ridge National Laboratory could drive discoveries in materials for future technologies.

Credit: Adam Malin/ORNL

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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Abstracts Copyright © 2022 SmithBucklin, Washington, DC, USA


 

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