Probabilistic Models Motivated by Cooperative Sequential Adsorption
V. Shcherbakov
2023, v.29, Issue 4, 573-604
ABSTRACT
This survey concerns probabilistic models motivated by
cooperative sequential adsorption (CSA) models. CSA models are widely used in physics and chemistry for modelling adsorption processes in which adsorption rates depend on the spatial configuration of already adsorbed particles. Corresponding probabilistic models describe random sequential allocation of particles either in a subset of Euclidean space, or at vertices of a graph (e.g.\ sites of the lattice). Depending on a technical setup these probabilistic models are stated in terms of spatial or integer-valued interacting birth-and-death processes.
In this survey we consider several such models that have been studied in recent years.
DOI:
10.61102/1024-2953-mprf.2023.29.4.006
Keywords: cooperative sequential adsorption, maximum likelihood estimation, interacting urn model, interacting spin model, Markov chain, reversibility, electric networks, positive recurrence, transience, explosion
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