2008
DOI: 10.1016/j.jcrysgro.2007.11.046
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Cellular growth of single crystals

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Cited by 13 publications
(13 citation statements)
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“…[11][12][13] Faceting is also observed during the epitaxial growth of SiGe films, 14,15 and cellular structure evolution during the growth of Ge 1Àx Si x single crystals has been investigated by simulations. 16,17 Recently, we have reported the h100i crystal-melt interface morphological transformation from a planar to a zigzag facets to a faceted cellular in Si 0.85 Ge 0.15 crystal and formation mechanism of the cellular structure was clarified. 18 However, the effect of Ge concentration on the crystal-melt interface morphological transformation in SiGe crystal is still unknown.…”
Section: And S Udamentioning
confidence: 99%
“…[11][12][13] Faceting is also observed during the epitaxial growth of SiGe films, 14,15 and cellular structure evolution during the growth of Ge 1Àx Si x single crystals has been investigated by simulations. 16,17 Recently, we have reported the h100i crystal-melt interface morphological transformation from a planar to a zigzag facets to a faceted cellular in Si 0.85 Ge 0.15 crystal and formation mechanism of the cellular structure was clarified. 18 However, the effect of Ge concentration on the crystal-melt interface morphological transformation in SiGe crystal is still unknown.…”
Section: And S Udamentioning
confidence: 99%
“…The constitutional supercooling during the crystal growth, fluctuations of the growth rate due to the melt convection and a deviation of the temperature field from the ideal symmetry cause the instability of the solid‐liquid interface and its wavy form , which can be visualized as striations in the crystal using selective etching. After a short transitional period, the shape of “waves” coincides approximately with the orientation of crystallographic planes {111} in the crystal and the cellular growth starts.…”
Section: Resultsmentioning
confidence: 99%
“…The simplest approach to anisotropic growth kinetics is in two dimensions setting a polynomial of cos( θ ) with deep minima in the 11 directions. This approach has been used for the computation of the evolution of cellular structures with similar process parameters as in experiments 64. The experimentally observed evolution can be reproduced qualitatively by this computation (see Fig.…”
Section: Special Application: Czochralski Growth Of Ge1–xsixmentioning
confidence: 86%
“…The evolution of microstructures in two dimensions has been computed by a PF method and a LBM 64. PF models have become common methods for computing the evolution of microstructures numerically and will be discussed below.…”
Section: Special Application: Czochralski Growth Of Ge1–xsixmentioning
confidence: 99%
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