Kinetic Monte-Carlo simulation of the homoepitaxial growth of MgO\001\ thin films by molecular deposition - Archive ouverte HAL
Article Dans Une Revue Surface Science : A Journal Devoted to the Physics and Chemistry of Interfaces Année : 2012

Kinetic Monte-Carlo simulation of the homoepitaxial growth of MgO\001\ thin films by molecular deposition

Résumé

A lattice-based kinetic Monte-Carlo (KMC) code has been developed to investigate the MgO\001\ crystal growth from deposition of MgO molecules, as a prototypical case of the growth of oxide thin films. The KMC approach has been designed on the basis of an extensive database including all possible diffusion mechanisms. The corresponding activation energies have been computed through first-principles calculations at zero temperature or from Arrhenius plots of the frequencies obtained by molecular dynamics simulations with empirical potentials. Crystal growth occurs layer by layer, as experimentally observed, and the diffusion of admolecules leads to a high capacity of nucleation, which is enhanced by vacancy diffusion. We have characterized the growth through surface roughness, size distribution and density of the islands, and filling ratios of the growing layers. Moreover, we have analysed the influence of each elementary mechanism on the growth. The best quality of the deposited layers is reached for temperatures larger than 700 K and for pressures smaller than 0.1 Torr. For these conditions, the simulated surface roughness is fully consistent with available experimental results. (C) 2011 Elsevier B.V. All rights reserved.

Dates et versions

hal-01243121 , version 1 (14-12-2015)

Identifiants

Citer

Ekaterina Antoshchenkova, Marc Hayoun, Fabio Finocchi, Grégory Geneste. Kinetic Monte-Carlo simulation of the homoepitaxial growth of MgO\001\ thin films by molecular deposition. Surface Science : A Journal Devoted to the Physics and Chemistry of Interfaces, 2012, 606 (5-6), pp.605-614. ⟨10.1016/j.susc.2011.11.026⟩. ⟨hal-01243121⟩
182 Consultations
0 Téléchargements

Altmetric

Partager

More