2015
DOI: 10.1088/1742-5468/2015/04/p04004
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Phase separation transition of reconstitutingk-mers in one dimension

Abstract: We introduce a driven diffusive model involving poly-dispersed hard k-mers on a one dimensional periodic ring and investigate the possibility of phase separation transition in such systems. The dynamics consists of a size dependent directional drive and reconstitution of k-mers. The reconstitution dynamics constrained to occur among consecutive immobile k-mers allows them to change their size while keeping the total number of k-mers and the volume occupied by them conserved. We show by mapping the model to a t… Show more

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Cited by 9 publications
(26 citation statements)
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“…Therefore the phase separation transition in the corresponding lattice map [23] of the model studied here is also expected to show a reentrant behavior. Finally, we think that it would be interesting to find out if reentrant phase behavior could also be observed in a more general class of DDS, namely the finite-range processes which provide cluster factorised steady states [34].…”
Section: Discussionmentioning
confidence: 84%
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“…Therefore the phase separation transition in the corresponding lattice map [23] of the model studied here is also expected to show a reentrant behavior. Finally, we think that it would be interesting to find out if reentrant phase behavior could also be observed in a more general class of DDS, namely the finite-range processes which provide cluster factorised steady states [34].…”
Section: Discussionmentioning
confidence: 84%
“…However, in this case there is an additional restriction that the boxes exchanging particles of species B are devoid of particles of the species A. This condition is crucial for explicit factorization of the steady state [23]. Depending on whether a B-type particle is transferred from site i to i + 1 or vice-versa, we define w(n i , n i+1 ) or w(n i+1 , n i ) to be the corresponding rates for the dynamics of species B.…”
Section: The Modelmentioning
confidence: 99%
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“…These models share a common feature: the steady-state probability of a microstate can be expressed analytically as a function of transition rates which define the dynamics of the model. Examples of such systems are the zero-range process (ZRP) [2,3,4], closely related to its equilibrium counterpart: balls-in-boxes model (B-in-B) [5], the asymmetric simple exclusion process (ASEP) [6] and its totally asymmetric version (TASEP) [7], asymmetric inclusion process (ASIP) [8,9,10] and many variations on these two models [11,12,13,14,15]. In all these models, particles jump between sites of a one-or higher-dimensional lattice and the dynamics is defined by specifying the hopping rates of the particles.…”
Section: Introductionmentioning
confidence: 99%