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DS: Fachverband Dünne Schichten
DS 42: Poster I: Progress in Micro- and Nanopatterning: Techniques and Applications (jointly with O); Spins in Organic Materials; Ion Interactions with Nano Scale Materials; Organic Electronics and Photovoltaics; Plasmonics and Nanophotonics (jointly with HL and O); High-k and Low-k Dielectrics (jointly with DF); Organic Thin Films; Nanoengineered Thin Films; Layer Deposition Processes; Layer Properties: Electrical, Optical, and Mechanical Properties; Thin Film Characterisation: Structure Analysis and Composition; Application of Thin Films
DS 42.69: Poster
Mittwoch, 16. März 2011, 15:00–17:30, P1
Multiscale study of submonolayer growth for Fe/Mo(110) — •Martin Mašín1, Mika O. Jahma2, Tapio Ala-Nissila2, and Miroslav Kotrla1 — 1Instute of Physics, Academy of Sciences of the Czech Republic, Na Slovance 2, Prague, 18221, Czech Republic — 2Department of Applied Physics, Aalto University School of Science, P.O. Box 11000 , FI-00076 Aalto, Espoo, Finland
We apply a multiscale approach to study growth during Molecular Beam Epitaxy (MBE) in submonolayer coverages for Fe/Mo(110). We compare results obtained for island size distributions from two methods – the Kinetic Rate Equation (KRE) approach and Monte Carlo (MC) simulations. The relevant energy parameters in MC are the activation energy for single–particle jumps, binding energy to the substrate, and attractive adatom interactions. In the second part we use the KRE approach combined with the Particle Coalescence Method to compute the island size distributions. KRE gives time evolution of the island size distributions for a system undergoing diffusion driven aggregation. Incoming parameters are diffusion coefficients, obtained from independent MC simulations, and aggregation kernels. For comparison we use the scaled island density function g(x) as a function of the normalized island size x=s/s. In the case of KRE we use adatom–island and island–island aggregation modes at two temperatures 500 K and 1000 K. In the case of MC we consider only 500 K due to computational demands. At this temperature we have good agreement for the scaling function between the MC and KRE adatom–island aggregation models.