Refining finite elements
A Brown University DOE Early Career Award recipient applies physical constraints to improve finite element methods, a computational modeling workhorse.
The forecast calls for stats
An NREL researcher makes new tools for extreme-weather predictions.
Diversity included
DOE CSGF fellows and alumni infuse their research and mentoring with efforts to build an inclusive workforce.
Science Highlights
AI sifts for promising nanomaterials
The method shows promise for detailed exploration of novel materials, including quantum materials.
Two-dimensional materials just a few atoms thick have special quantum mechanical properties. What often makes these materials special: their defects. But there are a huge number of potential defects, and they aren’t all useful. To sift for useful defects, researchers have developed an automated method to analyze an important part of the 2D materials puzzle: how matter interacts with electromagnetic radiation. The method combines scanning tunneling microscopy with AI to map atomic and electronic features.
The method opens the door to the detailed exploration of novel materials, including quantum materials. The techniques and software could be extended to other techniques in scanning probe microscopy. The researchers have summarized the method in a user-friendly, open access, and tailorable software package.
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