Fig. 3: Design framework for the fabrication of 2D MX2-M´Y2 (M and M’ = Mo, W, Nb, Re, etc. and X, Y = S, Se, Te) lateral heterostructures via CVD methods, input features data sets, machine learning, target variables, and experiments to optimize the best CVD process parameters. | npj 2D Materials and Applications

Fig. 3: Design framework for the fabrication of 2D MX2-M´Y2 (M and M’ = Mo, W, Nb, Re, etc. and X, Y = S, Se, Te) lateral heterostructures via CVD methods, input features data sets, machine learning, target variables, and experiments to optimize the best CVD process parameters.

From: Seamless in two dimensions: prospects of lateral heterostructures from integration to quantum devices

Fig. 3

Left col. (insets), schematic representation of the CVD system used to fabricate 2D LHS, composed of two independent temperature zones, precursors, substrates, and carrier gases. Right col. (top) optical microscope image of a multi-junction 2D MoSe2-WSe2 lateral heterostructure grown via CVD and the corresponding photoluminescence spectra (bottom) obtained from individual domains.

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