Published in Nature Communications · View the paper (DOI)
Researchers used machine learning to expand and accelerate work on 'atomic shapes,' fundamental pieces of geometry in higher dimensions. The breakthrough identifies shapes and their properties, such as dimension, accelerating new insights across Pure Mathematics.
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