2005
DOI: 10.1103/physrevb.71.195405
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Propagation of ripples in Monte Carlo models of sputter-induced surface morphology

Abstract: Periodic ripples generated from the off-normal-incidence ion-beam bombardment of solid surfaces have been observed to propagate with a dispersion in the velocity. We investigate this ripple behavior by means of a Monte Carlo model of the erosion process, in conjuction with one of two different surface-diffusion mechanisms, representative of two different classes of materials; one is a Arrhenius-type Monte Carlo method including a term ͑possibly zero͒ that accounts for the Schwoebel effect, while the other is a… Show more

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Cited by 56 publications
(73 citation statements)
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References 43 publications
(90 reference statements)
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“…We calculated a value for the exponent m of 0.65 ± 0.15 for TiO 2 , which is above the value of m = 0.3 expected from the theory for ion-induced surface self-diffusion. However, the discrepancy can be explained by considering redeposition processes during the sputter process, which lead to a coarsening of the ripple wavelength over irradiation time [24,25]. For our Si reference sample set we obtained an exponent m of 0.5 ± 0.05 (see supplementary information), which is well in agreement with experimental data already published [26], obtained from irradiation with argon ions.…”
Section: Structural Characterizationsupporting
confidence: 81%
“…We calculated a value for the exponent m of 0.65 ± 0.15 for TiO 2 , which is above the value of m = 0.3 expected from the theory for ion-induced surface self-diffusion. However, the discrepancy can be explained by considering redeposition processes during the sputter process, which lead to a coarsening of the ripple wavelength over irradiation time [24,25]. For our Si reference sample set we obtained an exponent m of 0.5 ± 0.05 (see supplementary information), which is well in agreement with experimental data already published [26], obtained from irradiation with argon ions.…”
Section: Structural Characterizationsupporting
confidence: 81%
“…From the figure we can also conclude that qualitative behaviors of distributions (18) and (20) are similar, the advantage of the first one being its greater analytical simplicity. Parameters employed in Fig.…”
Section: A One-dimensional Interfacesmentioning
confidence: 52%
“…In this case, the prediction for the local velocity of erosion has a shape that is similar to (18), albeit with more complex coefficients, whose detailed analytical expressions are again left to Appendix A 2:…”
Section: A One-dimensional Interfacesmentioning
confidence: 99%
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“…[5,6,7,8]. It uses a a discrete height profile h(x, y) of a solid-on-solid surface over a L × L (x, y)-lattice.…”
Section: Continuum Theory and Monte Carlo Modelmentioning
confidence: 99%