Self-Assembling of Zinc Phthalocyanines on ZnO (1010) Surface through Multiple Time Scales

We adopt a hierarchic combination of theoretical methods to study the assembling of zinc phthalocyanines (ZnPcs) on a ZnO (101̅0) surface through multiple time scales. Atomistic simulations, such as model potential molecular dynamics and metadynamics, are used to study the energetics and short time...

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Main Authors: Melis, C., Raiteri, Paolo, Colombo, L., Mattoni, A.
Format: Journal Article
Published: American Chemical Society 2011
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/18169
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author Melis, C.
Raiteri, Paolo
Colombo, L.
Mattoni, A.
author_facet Melis, C.
Raiteri, Paolo
Colombo, L.
Mattoni, A.
author_sort Melis, C.
building Curtin Institutional Repository
collection Online Access
description We adopt a hierarchic combination of theoretical methods to study the assembling of zinc phthalocyanines (ZnPcs) on a ZnO (101̅0) surface through multiple time scales. Atomistic simulations, such as model potential molecular dynamics and metadynamics, are used to study the energetics and short time evolution (up to 100 ns) of small ZnPc aggregates. The stability and the lifetime of large clusters is then studied by means of an atomistically informed coarse-grained model using classical molecular dynamics. Finally, the macroscopic time scale clustering phenomenon is studied by Metropolis Monte Carlo algorithms as a function of temperature and surface coverage. We provide evidence that at room temperature the aggregation is likely to occur at sufficiently high coverage, and we characterize the nature, morphology, and lifetime of ZnPc’s clusters. We identify the molecular stripes oriented along [010] crystallographic directions as the most energetically stable aggregates.
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publishDate 2011
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spelling curtin-20.500.11937-181692017-09-13T16:04:39Z Self-Assembling of Zinc Phthalocyanines on ZnO (1010) Surface through Multiple Time Scales Melis, C. Raiteri, Paolo Colombo, L. Mattoni, A. hybrid interface self assembling phthalocyanines free energy multiscale modeling We adopt a hierarchic combination of theoretical methods to study the assembling of zinc phthalocyanines (ZnPcs) on a ZnO (101̅0) surface through multiple time scales. Atomistic simulations, such as model potential molecular dynamics and metadynamics, are used to study the energetics and short time evolution (up to 100 ns) of small ZnPc aggregates. The stability and the lifetime of large clusters is then studied by means of an atomistically informed coarse-grained model using classical molecular dynamics. Finally, the macroscopic time scale clustering phenomenon is studied by Metropolis Monte Carlo algorithms as a function of temperature and surface coverage. We provide evidence that at room temperature the aggregation is likely to occur at sufficiently high coverage, and we characterize the nature, morphology, and lifetime of ZnPc’s clusters. We identify the molecular stripes oriented along [010] crystallographic directions as the most energetically stable aggregates. 2011 Journal Article http://hdl.handle.net/20.500.11937/18169 10.1021/nn203105w American Chemical Society restricted
spellingShingle hybrid interface
self assembling
phthalocyanines
free energy
multiscale modeling
Melis, C.
Raiteri, Paolo
Colombo, L.
Mattoni, A.
Self-Assembling of Zinc Phthalocyanines on ZnO (1010) Surface through Multiple Time Scales
title Self-Assembling of Zinc Phthalocyanines on ZnO (1010) Surface through Multiple Time Scales
title_full Self-Assembling of Zinc Phthalocyanines on ZnO (1010) Surface through Multiple Time Scales
title_fullStr Self-Assembling of Zinc Phthalocyanines on ZnO (1010) Surface through Multiple Time Scales
title_full_unstemmed Self-Assembling of Zinc Phthalocyanines on ZnO (1010) Surface through Multiple Time Scales
title_short Self-Assembling of Zinc Phthalocyanines on ZnO (1010) Surface through Multiple Time Scales
title_sort self-assembling of zinc phthalocyanines on zno (1010) surface through multiple time scales
topic hybrid interface
self assembling
phthalocyanines
free energy
multiscale modeling
url http://hdl.handle.net/20.500.11937/18169