2010
DOI: 10.1016/j.jcp.2009.10.013
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A tangent-plane marker-particle method for the computation of three-dimensional solid surfaces evolving by surface diffusion on a substrate

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Cited by 29 publications
(19 citation statements)
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“…Srolovitz and S.A. Safran proposed a sharp-interface model for the solid-state dewetting of thin films with isotropic surface energies [17]. Based on this model, the marker-particle method was presented for the simulation of the solid-state dewetting [18,19]. Recently, sharp-interface models were obtained rigorously via the energy variational method for the temporal evolution of open curves in 2D for the solid-state dewetting of thin films with weakly and strongly anisotropic surface energies.…”
Section: Introductionmentioning
confidence: 99%
“…Srolovitz and S.A. Safran proposed a sharp-interface model for the solid-state dewetting of thin films with isotropic surface energies [17]. Based on this model, the marker-particle method was presented for the simulation of the solid-state dewetting [18,19]. Recently, sharp-interface models were obtained rigorously via the energy variational method for the temporal evolution of open curves in 2D for the solid-state dewetting of thin films with weakly and strongly anisotropic surface energies.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, solid-state dewetting has been attracting increased attention both because of interest in the underlying pattern formation physics and its potential application as an economical approach to obtain nanostructured surfaces and nanodevices [9][10][11][12][13][14][15][16][17][18].…”
mentioning
confidence: 99%
“…The first sharp-interface model for solid-state dewetting was proposed by Srolovitz and Safran [13] to investigate the hole growth of small slop profiles under the assumption of isotropic surface energy and cylindrical symmetry. This model was then generalized to both the two-dimensional case [15] and three-dimensional case [16] in Lagrangian representation. Besides, the "marker particle" method was simultaneously proposed for solving these geometric evolution models.…”
Section: Introductionmentioning
confidence: 99%