Two CNN models, trained on real color-space images and over 10,000 synthetic bilayer shapes, identify MoS2 thicknesses and predict twist angles, with experimental validation via second-harmonic generation and Raman spectroscopy.
I.-J.; Ma, Q.; Cao, Y.; Rodan-Legrain, D.; et al
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Identification and Structural Characterization of Twisted Atomically Thin Bilayer Materials by Deep Learning
Two CNN models, trained on real color-space images and over 10,000 synthetic bilayer shapes, identify MoS2 thicknesses and predict twist angles, with experimental validation via second-harmonic generation and Raman spectroscopy.