Publication | Closed Access
Computational Understanding of the Growth of 2D Materials
43
Citations
221
References
2018
Year
NanosheetEngineeringMaterial SimulationTwo-dimensional MaterialsLow Dimensional MaterialMultiscale MaterialComputational UnderstandingMolecular DynamicsHexagonal Boron NitrideNanoscale ModelingMaterials GrowthMaterials SciencePhysicsNanotechnologyDimer DistributionSolid MechanicsNanomaterialsNatural SciencesApplied PhysicsNonlinear Edge GrowthGrapheneGraphene NanoribbonMechanics Of MaterialsMultiscale Modeling
Abstract Over the last two decades, remarkable progress has been made in use of computational methods for understanding 2D materials growth. The aim of this Review is to provide an overview of several state‐of‐the‐art computational methods for the modelling and simulation of 2D materials growth. First, the current status of 2D materials, and their major growth methods are addressed. Next, the applications of the ab initio method in 2D materials growth is discussed, focusing on reaction of precursors, diffusion of adatoms, energetics and kinetics of growth fronts, and effects of substrates. Then, the applications of the molecular dynamics approach in 2D materials growth is discussed, with emphasis on the growth of graphene on various substrates and the growth of boron nitride and silicene. Furthermore, the applications of the kinetic Monte Carlo method in 2D materials growth are discussed. The parametrization of the method and its application in dimer distribution, and nonlinear edge growth of graphene are discussed. Subsequently, the applications of the phase‐field method in 2D materials growth are discussed, focusing on the growth rate and morphological evolution of 2D domains. Finally, perspectives and conclusions are presented.
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