Documentation scienceplus.abes.fr version Bêta

À propos de : Kinetic Monte Carlo Study of Submonolayer Heteroepitaxial Growth Comparing Cu/Ni andPt/Ni on Ni(100)        

AttributsValeurs
type
Is Part Of
Subject
Title
  • Kinetic Monte Carlo Study of Submonolayer Heteroepitaxial Growth Comparing Cu/Ni andPt/Ni on Ni(100)
has manifestation of work
related by
Author
Abstract
  • The surface patterns formed during submonolayer Cu/Ni and Pt/Ni heteroepitaxy upon a Ni(100) substratehave been investigated by kinetic Monte Carlo (KMC) simulations. The two-dimensional (2D) KMC simulationsare based upon rate constants for a complete nearest-neighbor set of 729 uncorrelated Cu or Pt atoms and/orNi site-to-site hopping mobilities. The rate constant activation energies are determined by classical-potentialtotal-energy calculations using an embedded-atom method potential function from the literature. We find thatdiffusion of Cu atoms occurs at a faster rate and Pt atoms at a slower rate than that of Ni atoms on the flatNi(100) surface, and the initial nucleation and growth patterns of 2D islands and the kinetic versusthermodynamic control of the growth vary as a consequence. In the temperature and deposition time regimein which we work, the Cu/Ni systems show less than random mixing, while the Pt/Ni systems show morethan random mixing. The Cu/Ni system has bonding energies that result in a tendency to segregate towardsubdomains of pure Ni and Cu, though kinetic effects in the epitaxy trap the development of the system atsmall subdomain sizes. The Pt/Ni system has bonding energies giving a tendency to intermix completely,while epitaxial kinetic effects modestly interfere with the complete mixing. The kinetically determined islandmorphologies under various Cu/Ni and Pt/Ni compositions and deposition rates differ substantially over timeperiods that are long on the deposition time scale, and therefore the island patterns can become frozen inplace.
article type
is part of this journal



Alternative Linked Data Documents: ODE     Content Formats:       RDF       ODATA       Microdata