2010
DOI: 10.1103/physreve.82.061601
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One-dimensional model of interacting-step fluctuations on vicinal surfaces: Analytical formulas and kinetic Monte Carlo simulations

Abstract: We study analytically and numerically a one-dimensional model of interacting line defects (steps) fluctuating on a vicinal crystal. Our goal is to formulate and validate analytical techniques for approximately solving systems of coupled nonlinear stochastic differential equations (SDEs) governing fluctuations in surface motion. In our analytical approach, the starting point is the Burton-Cabrera-Frank (BCF) model by which step motion is driven by diffusion of adsorbed atoms on terraces and atom attachment-deta… Show more

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Cited by 11 publications
(49 citation statements)
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“…In this vein, a systematic kinetic description of terrace-width fluctuations in terms of a mean field was proposed recently [5] on the basis of hierarchies for terrace correlation functions in one space dimension (1D). This formalism was recently applied to a large system of interacting steps in the absence of material deposition under the assumption that the noise obeys a second-order conservative scheme [6]. Here, we extend the formulation of [6] to the case with material deposition of flux F from above.…”
Section: Introductionmentioning
confidence: 99%
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“…In this vein, a systematic kinetic description of terrace-width fluctuations in terms of a mean field was proposed recently [5] on the basis of hierarchies for terrace correlation functions in one space dimension (1D). This formalism was recently applied to a large system of interacting steps in the absence of material deposition under the assumption that the noise obeys a second-order conservative scheme [6]. Here, we extend the formulation of [6] to the case with material deposition of flux F from above.…”
Section: Introductionmentioning
confidence: 99%
“…This formalism was recently applied to a large system of interacting steps in the absence of material deposition under the assumption that the noise obeys a second-order conservative scheme [6]. Here, we extend the formulation of [6] to the case with material deposition of flux F from above. In addition, we discuss possible physical implications that stem from the analysis, and illustrate limitations of approximations for the (intrinsically nonlinear) stochastic equations of motion.…”
Section: Introductionmentioning
confidence: 99%
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