Structural phase transitions in a MoWSe 2 monolayer: Molecular dynamics simulations and variational autoencoder analysis
Author(s) -
Pankaj Rajak,
Aravind Krishnamoorthy,
Aiichiro Nakano,
Priya Vashishta,
Rajiv K. Kalia
Publication year - 2019
Publication title -
physical review. b./physical review. b
Language(s) - English
Resource type - Journals
eISSN - 2469-9969
pISSN - 2469-9950
DOI - 10.1103/physrevb.100.014108
Subject(s) - autoencoder , heterojunction , materials science , phase (matter) , monolayer , crystallography , density functional theory , nanoelectronics , condensed matter physics , physics , machine learning , nanotechnology , computer science , quantum mechanics , chemistry , deep learning
Electrical and optoelectronic properties of two-dimensional (2D) transition metal dichalcogenides (TMDCs) can be tuned by exploiting their structural phase transitions. Here semiconducting (2H) to metallic (1T) phase transition is investigated in a strained ${\mathrm{MoWSe}}_{2}$ monolayer using molecular dynamics (MD) simulations. Novel intermediate structures called $\ensuremath{\alpha}$ and $\ensuremath{\beta}$ are found between the 2H and 1T phases. These intermediate structures are similar to those observed in a 2D $\mathrm{Mo}{\mathrm{S}}_{2}$ by scanning transmission electron microscopy. A deep generative model, namely the variational autoencoder (VAE) trained by MD data, is used to generate novel heterostructures with $\ensuremath{\alpha}$ and $\ensuremath{\beta}$ interfaces. Quantum simulations based on density functional theory show that these heterostructures are stable and suitable for novel nanoelectronics applications.
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