2012
DOI: 10.1021/ct200819r
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A New Kinetic Monte Carlo Algorithm for Heteroepitactical Growth: Case Study of C60 Growth on Pentacene

Abstract: A novel multilattice kinetic Monte Carlo algorithm is developed for heteroepitactical growth of a hexagonal lattice material (C60) on an oblique lattice material (pentacene). This algorithm captures the behavior of single molecule and small clusters of C60 molecules diffusing, clustering, and reorganizing as monolayers on the surface and switching lattices depending on their local environment. An extensive catalog of jump rates and energy barriers created from molecular dynamics simulations and molecular mecha… Show more

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Cited by 12 publications
(14 citation statements)
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“…In comparison to previous estimates we find that our value for the free diffusion barrier of E D = 195.6 (20) meV falls between the values obtained previously: Gravil et al [30] (168 meV, pair potential calculations), Liu et al [19] (178(4) meV, MD simulations), Cantrell and Clancy [24] (205( 22) meV, molecular mechanics), and Goose et al [23] (207 meV, DFT calculations). In Table II, we compare our values for energy barriers to available previous results.…”
Section: A MD Simulationssupporting
confidence: 82%
See 1 more Smart Citation
“…In comparison to previous estimates we find that our value for the free diffusion barrier of E D = 195.6 (20) meV falls between the values obtained previously: Gravil et al [30] (168 meV, pair potential calculations), Liu et al [19] (178(4) meV, MD simulations), Cantrell and Clancy [24] (205( 22) meV, molecular mechanics), and Goose et al [23] (207 meV, DFT calculations). In Table II, we compare our values for energy barriers to available previous results.…”
Section: A MD Simulationssupporting
confidence: 82%
“…One approach is to assume an Arrhenius law, which requires an attempt rate and an energy barrier for each possible transition. For C 60 , energy barriers have been calculated from density functional theory (DFT) [23] and molecular mechanics [24].…”
Section: Introductionmentioning
confidence: 99%
“…KMC uses a library of known transitions to study multilayer surface growth. Since standard KMC codes are unsuited to study heteroepitactic growth, we previously developed an algorithm tailored to do so and hence follow the growth of C 60 on pentacene . The algorithm featured a multilattice framework with a seamless ability to switch “grids” from those suitable for pentacene and C 60 to match the selected event.…”
Section: Methodsmentioning
confidence: 99%
“…(In contrast, heteroepitaxy concerns situations in which A and B materials share the same preferred crystal habit (e.g., Si on Ge).) There have been just two prior reports of KMC simulation of heteroepitactic growth; one uses a multilattice KMC method we created and applied to submonolayer growth . In the second, Hoffman investigated how environmental conditions of a CO molecule on a Pd (100) surface (e.g., different adsorption site geometries) determined which of the two lattices (CO or Pd) it adopted .…”
Section: Introductionmentioning
confidence: 99%
“…One route to further our understanding is computer simulations. Especially the kinetic Monte Carlo (KMC) method [33] (or Gillespie algorithm [34,35]) has proven to be very promising since it is able to simulate the length and time scales needed to observe the cluster growth of these deposition experiments [36][37][38][39][40][41][42].…”
Section: Introductionmentioning
confidence: 99%