2015
DOI: 10.12693/aphyspola.127.585
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Order-Disorder Transition in 2D Conserved Spin System with Cooperative Dynamics

Abstract: In this work Monte Carlo simulations with usage of dynamic lattice liquid model are presented, instead of the widely used direct exchange or vacancy dynamics, to investigate the dynamics of phase separation phenomenon in spin conserved system with all lattice sites occupied. The dynamic behaviour of domain growth and particle diusion is discussed for the modied conserved order parameter Ising model. The dynamic lattice liquid model dynamics enables non-locally correlated relaxation dynamics and allows to simul… Show more

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Cited by 6 publications
(2 citation statements)
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“…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%
“…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%
“…The thermally activated diffusion model introduces an additional temperature-dependent restriction on molecule movement due to their interaction with neighbors. Such simulations have been performed previously only on a sequential computer [16][17][18], and no high-performance parallel implementation of this model is known. Different models can be considered in this case, including the kinetic MC test [16] based on the present state, forward-testing based on the next state, Metropolis sampling [4], or Glauber dynamics [19].…”
Section: Thermally Activated Diffusion Modelmentioning
confidence: 99%