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How can Machine Learning Advance Graphene Innovation?

In the last five years, the discovery and significant interest in twisted bilayer graphene gave rise to an entirely new subfield in advanced materials science and quantum physics: twistronics. In a new study, scientists apply machine learning algorithms to discover more about this remarkable phenome ....

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Analyzing Twisted Graphene with ML and Raman Spectroscopy

Researchers developed a novel technique for automatically classifying the Raman spectra of twisted bilayer graphene (tBLG) into a variety of twist orientations using machine learning (ML). ....

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