How machine learning is revolutionising materials science
Futurum
APRIL 18, 2023
Researchers are often interested in determining which phases are present in a micrograph, or finding individual objects in an image, such as missing atoms or extended defects like dislocation loops or voids. For the growing ML aspects of the field, backgrounds in computing, coding and mathematics are helpful.
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