2015
DOI: 10.1088/1751-8113/48/23/235001
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Random sequential adsorption with two components: asymptotic analysis and finite size effects

Abstract: Abstract. We consider the model of random sequential adsorption (RSA) in which two lengths of rod-like polymer compete for binding on a long straight rigid onedimensional substrate. We take all lengths to be discrete, assume that binding is irreversible, and short or long polymers are chosen at random with some probability. We consider both the cases where the polymers have similar lengths and when the lengths are vastly different. We use a combination of numerical simulations, computation and asymptotic analy… Show more

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Cited by 2 publications
(4 citation statements)
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“…Denoting the units or dimensions of a term by [·], and considering the terms in Eq. (6), we note that [x] = 1/[t], which is consistent with the term e xt in (28 , which is consistent with the prefactor on the right-hand side of Eq. (30).…”
Section: Behaviour Of the Coveragesupporting
confidence: 80%
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“…Denoting the units or dimensions of a term by [·], and considering the terms in Eq. (6), we note that [x] = 1/[t], which is consistent with the term e xt in (28 , which is consistent with the prefactor on the right-hand side of Eq. (30).…”
Section: Behaviour Of the Coveragesupporting
confidence: 80%
“…We have solved this model analytically determining an ansatz for the gap size distribution function (14) and hence an expression for the jamming coverage θ(m). Remarkably, an explicit asymptotic approximation (28), for the gap size distribution in the early timescale can be found using Laplace transforms. This shows how the delta function initial conditions (17) evolve to the intermediate dynamics and motivate the form of the ansatz (14) which explains the behaviour of the system in the approach to jamming.…”
Section: Discussionmentioning
confidence: 99%
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“…The different variant of RSA model with deposition of binary mixtures or particles with size distributions were also analyzed [17][18][19][20][21][22]. For multicomponent mixtures the competitive and multistep RSA models were investigated.…”
Section: Introductionmentioning
confidence: 99%