2013
DOI: 10.1088/1742-5468/2013/10/p10008
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Thin film deposition with time-varying temperature

Abstract: We study the effects of time-dependent substrate/film temperature in the deposition of a mesoscopically thick film using a statistical model that accounts for diffusion of adatoms without lateral neighbors whose coefficients depend on an activation energy and temperature. Dynamic scaling with fixed temperature is extended to predict conditions in which the temperature variation significantly affects surface roughness scaling. It agrees with computer simulation results for deposition of up to 10 4 atomic layers… Show more

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Cited by 7 publications
(5 citation statements)
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“…The results for small R (100 or less) and small thicknesses (1000 monolayers or less) show features of anomalous roughening, i. e. the log w × log r curves for different times are split for small r. This was already observed for ǫ = 0 in Ref. [33]. For R ≥ 10 3 , the curves for short times are also split, but coincide after ≈ 100 monolayers.…”
Section: Local Roughness Scalingsupporting
confidence: 65%
“…The results for small R (100 or less) and small thicknesses (1000 monolayers or less) show features of anomalous roughening, i. e. the log w × log r curves for different times are split for small r. This was already observed for ǫ = 0 in Ref. [33]. For R ≥ 10 3 , the curves for short times are also split, but coincide after ≈ 100 monolayers.…”
Section: Local Roughness Scalingsupporting
confidence: 65%
“…Note that each sample simulated here is grown at a constant temperature, which is the most usual condition in experiments. Significantly different results are observed if the temperature changes during the growth of a film, possibly including apparent anomalous roughening [45]; however, this case is not considered here.…”
Section: Discussionmentioning
confidence: 92%
“…However, the scaling of the local roughness at short scales does not provide estimates of the roughness exponent in agreement with the universality classes they belong for several irreversible growth models in both oneand two-dimensional substrates [22]. This caveat was also observed for the CV model in both irreversible [23] and reversible [19] aggregation versions. Then, a direct measurement of the roughness exponent corresponding to CV model is still lacking.…”
Section: Introductionmentioning
confidence: 78%