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.
Intelligent identification of two-dimensional nanostructures by machine-learning optical microscopy.Nano Res.2018,11, 6316–6324
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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.