Quantifying the thickness of WTe2 using atomic-resolution STEM simulations and supervised machine learning
Nikalabh Dihingia,
Gabriel A. Vázquez-Lizardi,
Ryan J. Wu
et al.
Abstract:For two-dimensional (2D) materials, the exact thickness of the material often dictates its physical and chemical properties. The 2D quantum material WTe2 possesses properties that vary significantly from a single layer to multiple layers, yet it has a complicated crystal structure that makes it difficult to differentiate thicknesses in atomic-resolution images. Furthermore, its air sensitivity and susceptibility to electron beam-induced damage heighten the need for direct ways to determine the thickness and at… Show more
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