2014
DOI: 10.1007/978-3-319-05437-7_10
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Kinetic Monte Carlo Simulations of Cluster Growth and Diffusion in Metal-Polymer Nanocomposites

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Cited by 6 publications
(6 citation statements)
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“…This suggestion is confirmed by the TEM image shown in Figure 7. The main driving force for cluster immersion is the minimization of surface free energy of NP-polymer system 11,12 and the annealing process greatly facilitates NPs embedment. Since the polymer is viscous, it is not necessary to go with annealing above the glass transition temperature to provide the particle immersion.…”
Section: Silver-pmma Compositesmentioning
confidence: 99%
See 1 more Smart Citation
“…This suggestion is confirmed by the TEM image shown in Figure 7. The main driving force for cluster immersion is the minimization of surface free energy of NP-polymer system 11,12 and the annealing process greatly facilitates NPs embedment. Since the polymer is viscous, it is not necessary to go with annealing above the glass transition temperature to provide the particle immersion.…”
Section: Silver-pmma Compositesmentioning
confidence: 99%
“…[8][9][10] The cohesive energy of metals exceeds the cohesive energy of polymers by typically two orders of magnitude and generally it is expected that metals exhibit a strong tendency to aggregate and form clusters when deposited on the surface of an organic substrate. 11 However, in case of low reactivity metals like Cu, Ag, Au, and Pd, deposited atoms can diffuse toward bulk of a substrate causing subsequent formation of clusters below the surface under certain evaporation conditions. Kovacs et al [12][13][14] showed that complete embedding of a nanoparticle (NP) into a polymer is expected if !…”
Section: Introductionmentioning
confidence: 99%
“…[19][20][21][22] Especially for the particle-based simulation of nanocomposite formation, KMC simulations turned out to be a valuable tool since they allow for simplified but accurate selfconsistent descriptions of highly complex systems of macroscopic size. [21][22][23][24] In order to handle the complicated dynamics of nanocomposites, some drastic, but at the same time carefully chosen approximations are employed. The main idea behind the simulations is to condense all relevant physical effects into the behavior of simple geometric bodies.…”
Section: Simulation Modelmentioning
confidence: 99%
“…A tricky challenge is to use atomic scale simulation methods for enabling multiscale analysis. Kinetic Monte-Carlo methods are now relevant for describing a wide range of time and space scales [9,12,16,[22][23][24][25], including plasma materials processing reactors [26][27][28]. Recently Molecular Dynamics simulations (MDs), which are calculating all the trajectories of an ensemble of particle, have overcome the barrier of describing long time phenomena or rare infrequent events [29][30][31][32][33][34].…”
Section: Introductionmentioning
confidence: 99%