Researchers from the U.S. Department of Energy’s Berkeley Lab, the University of Central Florida, and Penn State have unveiled a new, fast, and readily reproducible way to map and identify defects in two-dimensional (2D) materials. It uses an application of artificial intelligence to quickly analyze data from autonomous experiments, which in recent years have become a powerful tool for imaging 2D materials.
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