Twisted graphene is an intriguing contender for applications in next-generation energy conversion and storage devices due to its intrinsic physical qualities and the high degree of tunability of its electronic properties.
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).