2014
DOI: 10.1016/j.jcrysgro.2013.12.019
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Numerical study of silicon crystal ridge growth

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Cited by 6 publications
(4 citation statements)
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“…Actually, the solution of the Young-Laplace equation (see e.g. [11]) can yield a similar shape. Another possible explanation for this shape could be a slight variation of growth velocity in the different crystallographic directions.…”
Section: Characterization Of the Growth Ridge Topographymentioning
confidence: 96%
See 1 more Smart Citation
“…Actually, the solution of the Young-Laplace equation (see e.g. [11]) can yield a similar shape. Another possible explanation for this shape could be a slight variation of growth velocity in the different crystallographic directions.…”
Section: Characterization Of the Growth Ridge Topographymentioning
confidence: 96%
“…Voronkov [3,9,10] was the first to develop a detailed theoretical understanding for the growth phenomena at the edge facets and the related growth ridges. Later on, Barinovs [11] obtained a simple analytical expression for the geometry of the growth ridge from Voronkovs' theoretical model and implemented it in a numerical algorithm to calculate the size of the growth ridge from known temperature gradients. These theoretical works predict a strong correlation between growth ridge geometry and thermal field.…”
Section: Introductionmentioning
confidence: 99%
“…However, the calculated quantities can be further used to analyze the processes on micro and atomistic scales [67]. The models are macroscopic, i.e., they consider the material with continuum properties and do not describe the atomistic scale of crystal growth.…”
Section: Mathematical Modelsmentioning
confidence: 99%
“…Morphology of the ridges for FZ crystals of 1 1 1 orientation up to 5" diameter has been described and a loss of particular ridge shapes when the crystal dislocates is suggested [11]. Size of the ridge has been theoretically calculated for a 1 0 0 4" Cz crystal depending strongly on the temperature gradient by the crystallization interface at the triple point [12]. The model predicts larger ridge size for a smaller temperature gradient.…”
Section: Introductionmentioning
confidence: 99%