2006
DOI: 10.1088/0957-4484/17/4/047
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Effect of material anisotropy on the self-positioning of nanostructures

Abstract: An experimental and numerical investigation of the effect of material anisotropy on the self-positioning of epitaxial nanostructures has been performed. The self-positioning occurs due to a lattice mismatch between two epitaxial material layers (GaAs and In(0.2)Ga(0.8)As) of a hinge. Both materials have cubic crystal symmetry and possess anisotropic mechanical properties. The dependence of the hinge curvature radius on the material orientation angle was obtained experimentally by creating self-positioning hing… Show more

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Cited by 6 publications
(9 citation statements)
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“…For varying orientation angles, the ratio of maximum and minimum values of the curvature radius is about 1.35. This ratio is similar to experimental data and numerical finite element modeling of GaAs and In 0.2 Ga 0.8 As bi-layer structures [12]. Dependency of the curvature radius on the material orientation angle is close to sinusoidal function with frequency π.…”
Section: Effect Of Materials Anisotropysupporting
confidence: 86%
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“…For varying orientation angles, the ratio of maximum and minimum values of the curvature radius is about 1.35. This ratio is similar to experimental data and numerical finite element modeling of GaAs and In 0.2 Ga 0.8 As bi-layer structures [12]. Dependency of the curvature radius on the material orientation angle is close to sinusoidal function with frequency π.…”
Section: Effect Of Materials Anisotropysupporting
confidence: 86%
“…It is assumed that rotations and translations are large but strains are small. Our algorithm [12] includes both material anisotropy and large displacements. Usually, geometrical nonlinearity and anisotropy are treated separately [13,14].…”
Section: Finite Element Analysis 31 Finite Element Algorithm For Animentioning
confidence: 99%
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“…In this section, the obtained analytical generalized plane strain solution is compared with the ordinary plane strain solution [15] and with results obtained by the finite element analysis. Details about finite element procedures for self-positioning micro-and nano-structure can be found in publications of Nikishkov et al [17,18]. For comparison of results, we model a bilayer structure as shown in Fig.…”
Section: Comparison Of Analytical and Numerical Solutionsmentioning
confidence: 99%
“…Analytical solutions have been derived based on continuum mechanics theory to predict the curvature radius [10][11][12]. Computational modeling has been also performed to understand characteristics of self-positioning nanostructures [13][14][15][16]. However, just few publications investigate selfpositioning structures taking into account atomic-scale effects.…”
Section: Introductionmentioning
confidence: 99%