2006
DOI: 10.1103/physrevb.74.045405
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Kinetic lattice gas model of collective diffusion in a one-dimensional system with long-range repulsive interactions

Abstract: Collective diffusion is investigated within the kinetic lattice gas model for systems of particles in one dimension with repulsive long-range interactions which are known to result in a staircaselike phase diagram with an infinite sequence of incompressible crystalline phases separated one from another by unstable compressible liquidlike phases. Using a recently proposed ͓Gortel and Załuska-Kotur, Phys. Rev. B 70, 125431 ͑2004͔͒ variational method, an analytic expression for the particle density dependence of … Show more

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Cited by 19 publications
(36 citation statements)
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“…in a series of follow-up works [23]- [28]. Most of these works deal with homogeneous onedimensional systems with short range interactions but some progress has also been made in two dimensions [23,28], non-homogeneous substrates [27,28] and systems with long range particle-particle interactions [26,29]. In this approach the collective diffusion coefficient is related to the lowest eigenvalue of a rate matrix which describes the kinetics of microscopic states of the system.…”
Section: Introductionmentioning
confidence: 99%
“…in a series of follow-up works [23]- [28]. Most of these works deal with homogeneous onedimensional systems with short range interactions but some progress has also been made in two dimensions [23,28], non-homogeneous substrates [27,28] and systems with long range particle-particle interactions [26,29]. In this approach the collective diffusion coefficient is related to the lowest eigenvalue of a rate matrix which describes the kinetics of microscopic states of the system.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, an analytic method was proposed for lattice gas models with arbitrary interactions between the atoms. The method is described in [16,17], with [17] dealing specifically with its application to systems with LR interactions in 1D.…”
mentioning
confidence: 99%
“…[23] has been subsequently refined and applied to a variety of problems [24][25][26][27][28]. In essence, the problem of finding the density/coverage dependent collective diffusion coefficient in a system of interacting particles adsorbed on a crystalline substrate is reduced to that of finding the smallest eigenvalue of a rate matrix using the variational approach akin to that used in quantum mechanics to find the ground state energy of a physical system.…”
Section: Variational Approach To Diffusion -Reviewmentioning
confidence: 99%
“…[23] and then progressively refined in a series of follow-up works [24][25][26][27][28]. Most of these works deal with homogeneous one-dimensional systems with short range interactions but some progress has been also made in two dimensions [24], non-homogeneous substrates [28] and systems with long range particle-particle interactions [27,29]. In most of the applications so far, the designation 'variational' has not fully justified because variational parameters minimizing the eigenvalue have not been used -they could be easily guessed for these relatively simple applications.…”
Section: Introductionmentioning
confidence: 99%