Monte-Carlo simulations of the epitaxy of Ge on Ag(111)
Contact : aqua@insp.jussieu.fr
Tutelle : Sorbonne Université
Mots clés : Croissance – Organisation – Interfaces, Stage M2, et Theorique
Gratification : Oui
Page des stages de(s) l'équipe(s) : Physico-chimie et dynamique des surfaces
Description du stage
We will investigate the growth of germanene on top of Ag(111) substrates. A significant experimental work was performed in the hosting team on this system. It revealed new growth modes, and different deposited layer structures as a function of the effective coverage and temperature. Our goal is to rationalize these growth modes thanks to the description of the dynamics and self-organization at work in these systems. We will consider a modelization that will incorporate alloying effects and the possibility of intermixing so as to describe surface alloys revealed by experiments. We will also include surface effects in the dynamics that were shown to be at work in a previous experimental/theoretical study done at INSP concerning the growth of silicene on Ag(111). The numerical part will include the derivation of rejection-free KMC simulations following the Bortz-Kalos-Lebowitz algorithm. The algorithm will include different atomic events starting with the fundamental deposition, diffusion and attachment/detachment processes. These processes will be made dependent on different configurations (local height, local configuration …) to account for different effects (segregation, alloying, wetting etc). Energy barriers will be derived both thanks to experimental and ab-initio results, but also thanks to the analysis of the simulation and experimental morphologies. The aim of this coupling between theory and experiment is to gain control on the growth procedure in order to obtain two-dimensional epitaxial deposits of large size and good crystalline quality. The internship will be done in close collaboration with the experimental group at INSP.
Techniques/methods in use: kinetic Monte-Carlo simulations
Applicant skills: numerical abilities, solid state physics