Level set simulation of directed self-assembly during epitaxial growth

X. Niu; R. Vardavas; R. E. Caflisch; C. Ratsch

doi:10.1103/PhysRevB.74.193403

Level set simulation of directed self-assembly during epitaxial growth

X. Niu, R. Vardavas, R. E. Caflisch, C. Ratsch

Mathematics

Research output: Contribution to journal › Article › peer-review

Abstract

We study the effect of a spatially varying potential energy surface on the self-organization of nanoscale patterns during epitaxial growth. The computational approach is based on the level set method. Our results have an implication for guided self-assembly of nano patterns, which is a promising new technique for many technological applications. Both kinetic as well as thermodynamic effects can lead to ordering, and we discuss the competition between these two effects.

Original language	English (US)
Article number	193403
Journal	Physical Review B - Condensed Matter and Materials Physics
Volume	74
Issue number	19
DOIs	https://doi.org/10.1103/PhysRevB.74.193403
State	Published - 2006

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics

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10.1103/PhysRevB.74.193403

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title = "Level set simulation of directed self-assembly during epitaxial growth",

abstract = "We study the effect of a spatially varying potential energy surface on the self-organization of nanoscale patterns during epitaxial growth. The computational approach is based on the level set method. Our results have an implication for guided self-assembly of nano patterns, which is a promising new technique for many technological applications. Both kinetic as well as thermodynamic effects can lead to ordering, and we discuss the competition between these two effects.",

author = "X. Niu and R. Vardavas and Caflisch, {R. E.} and C. Ratsch",

year = "2006",

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AB - We study the effect of a spatially varying potential energy surface on the self-organization of nanoscale patterns during epitaxial growth. The computational approach is based on the level set method. Our results have an implication for guided self-assembly of nano patterns, which is a promising new technique for many technological applications. Both kinetic as well as thermodynamic effects can lead to ordering, and we discuss the competition between these two effects.

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Level set simulation of directed self-assembly during epitaxial growth

Abstract

ASJC Scopus subject areas

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