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Family of Two-Dimensional Transition Metal Dichlorides: Fundamental Properties, Structural Defects, and Environmental Stability.

Andrey A KistanovStepan A ShcherbininRomain BotellaArtur DavletshinWei Cao
Published in: The journal of physical chemistry letters (2022)
A large number of novel two-dimensional (2D) materials are constantly being discovered and deposited in databases. Consolidated implementation of machine learning algorithms and density functional theory (DFT)-based predictions have allowed the creation of several databases containing an unimaginable number of 2D samples. As the next step in this chain, the investigation leads to a comprehensive study of the functionality of the invented materials. In this work, a family of transition metal dichlorides have been screened out for systematic investigation of their structural stability, fundamental properties, structural defects, and environmental stability via DFT-based calculations. The work highlights the importance of using the potential of the invented materials and proposes a comprehensive characterization of a new family of 2D materials.
Keyphrases
  • density functional theory
  • transition metal
  • machine learning
  • molecular dynamics
  • human health
  • big data
  • primary care
  • healthcare
  • deep learning
  • risk assessment
  • artificial intelligence
  • life cycle
  • monte carlo