2009
DOI: 10.1016/j.jnoncrysol.2009.05.019
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Kinetics of spinodal decomposition in the Ising model with dynamic lattice liquid (DLL) dynamics

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Cited by 7 publications
(6 citation statements)
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“…For the data points above T c linear t can be made with a slope −1.03±0.01. This value, closer to 1 than obtained in [14], conrms the well-known Arrhenius-type diusive behavior with energetic barrier 2J. Self-diusion coecients increase for temperatures below critical value because in equilibrium state system is fully separated and diusion coecients tend back to athermal values.…”
Section: Resultssupporting
confidence: 87%
See 1 more Smart Citation
“…For the data points above T c linear t can be made with a slope −1.03±0.01. This value, closer to 1 than obtained in [14], conrms the well-known Arrhenius-type diusive behavior with energetic barrier 2J. Self-diusion coecients increase for temperatures below critical value because in equilibrium state system is fully separated and diusion coecients tend back to athermal values.…”
Section: Resultssupporting
confidence: 87%
“…The dynamics of particles was realized in terms of the DLL model [9], which has been successfully applied for various non-equilibrium physical problems like diusion limited aggregation [10], evolution of reaction front [11], polymer dynamics [12], gelation process [13] and preliminary studies of phase separation in binary system [14]. In this work a comprehensive explanation of domain growth kinetics and diusive behaviour in wide temperature range is presented.…”
Section: Simulation Methodsmentioning
confidence: 99%
“…The only one model operating in a fully dense system (density factor equal to 1) with proper dynamics is the dynamic lattice liquid (DLL) model [ 17 ]. This model has already been successfully applied to investigate many non-equilibrium physical phenomena including diffusion limited aggregation [ 18 ], reaction–diffusion fronts propagation [ 19 ], dynamics of linear [ 20 ] as well as cross-linked polymer systems [ 21 ], spinodal decomposition [ 22 ], and diffusion in crowded environments [ 23 ].…”
Section: Methodsmentioning
confidence: 99%
“…Moreover, the dynamic properties, which it produces, are in good agreement with those established for liquids in general. 60,61 The DLL model has been successfully used to characterize many complex phenomena, like: diffusion limited aggregation, 62 reaction diffusion front problems, 63 polymer solution dynamics, 64 gelation in crosslinked polymeric systems, [65][66][67][68] spinodal decomposition 69,70 and diffusion in crowed environments. 71 The Monte Carlo Step (MCS) applied to realize the DLL model in the athermal case reflects discrete time.…”
Section: Dynamic Lattice Liquid Modelmentioning
confidence: 99%