2010
DOI: 10.1063/1.3483248
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Kinetic Monte Carlo simulation of shape transition of strained quantum dots

Abstract: The pyramid-to-dome transition in Ge x Si 1−x on Si͑100͒ initiated by step formation on pyramidal quantum dots is atomistically simulated using a multistate lattice model in two-dimensions incorporating effective surface reconstructions. Under quasiequilibrium growth conditions associated with low deposition rates, the transition occurs at island size n c following ͱ n c ϳ x −1.69 independent of temperature and deposition rate. The shape transition is found to be an activated process. Results are explained by … Show more

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Cited by 13 publications
(20 citation statements)
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“…However, at the atomic scale, the new facet is believed to form by bunching of atomic steps 18 as an intermediate state before coalescing into facets. 6,19 This process can be seen in KMC simulations. 6 However, it…”
mentioning
confidence: 98%
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“…However, at the atomic scale, the new facet is believed to form by bunching of atomic steps 18 as an intermediate state before coalescing into facets. 6,19 This process can be seen in KMC simulations. 6 However, it…”
mentioning
confidence: 98%
“…1 These islands are typically symmetrical in shape, but asymmetrical islands are also observed in experiment [2][3][4][5] and in simulations. 6,7 The presence of asymmetry has important implications for both the growth process and the island properties. Asymmetry in quantum dots is particularly significant for optical applications, as it can split degeneracies of quantum dot states and provide a source of optical anisotropy.…”
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confidence: 99%
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“…We point out that more sophisticated bond counting models have been proposed in Refs. [23,24] in the context of heteroepitaxy.…”
Section: Model Parametersmentioning
confidence: 99%
“…Worst, diffusion processes at semiconductor surfaces are typically influenced by local changes in orbital hybridization, so that reliable estimates of diffusion rates call for refined and computationally demanding ab initio calculations [48]. Nevertheless, it is worth mentioning some significant progress based on empirical approaches exploiting Kinetic Monte-Carlo schemes [49][50][51][52].…”
Section: Introductionmentioning
confidence: 99%