STOCHASTIC-EQUATIONS OF MOTION FOR EPITAXIAL-GROWTH

Citation
Dd. Vvedensky et al., STOCHASTIC-EQUATIONS OF MOTION FOR EPITAXIAL-GROWTH, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics, 48(2), 1993, pp. 852-862
Citations number
96
Categorie Soggetti
Physycs, Mathematical","Phsycs, Fluid & Plasmas
ISSN journal
1063651X
Volume
48
Issue
2
Year of publication
1993
Pages
852 - 862
Database
ISI
SICI code
1063-651X(1993)48:2<852:SOMFE>2.0.ZU;2-I
Abstract
We report an analytic derivation of the Langevin equations of motion f or the surface of a solid that evolves under typical epitaxial-growth conditions. Our treatment begins with a master-equation description of the microscopic dynamics of a solid-on-solid model and presumes that all surface processes obey Arrhenius-type rate laws. Our basic model t akes account of atomic deposition from a low-density vapor, thermal de sorption, and surface diffusion. Refinements to the model include the effects of hot-atom knockout processes and asymmetric energy barriers near step edges. A regularization scheme is described that permits a ( nonrigorous) passage to the continuum limit when the surface is rough. The resulting stochastic differential equation for the surface-height profile generically leads to the behavior at long length and time sca les first described by Kardar, Parisi, and Zhang [Phys. Rev. Lett. 56, 889 (1986)] (due to desorption). If evaporation is negligible, the as ymptotic behavior is characteristic of a linear model introduced by Ed wards and Wilkinson [Proc. R. Soc. London, Ser. A 381,17 (1982)] (due to asymmetric step barriers and/or knockout events). If the latter are absent as well, the surface roughness is determined by an equation in dependently analyzed by Villain [J. Phys. I 1, 19 (1991)] and Lai and Das Sarma [Phys. Rev. Lett. 66, 2348 (1991)] (which includes only depo sition and site-to-site hopping). The consequences of reflection-symme try breaking in the basic microscopic processes are discussed in conne ction with step-barrier asymmetry and Metropolis kinetic algorithms.