Random sequential adsorption, series expansion and Monte Carlo simulation

Jian-Sheng Wang

Physica A: Statistical Mechanics and its Applications, 1998, vol. 254, issue 1, 179-184

Abstract: Random sequential adsorption is an irreversible surface deposition of extended objects. In systems with continuous degrees of freedom coverage follows a power law, θ(t)≈θJ−ct−α, where the exponent α depends on the geometric shape (symmetry) of the objects. Lattice models give typically exponential saturation to jamming coverage. We discuss how such function θ(t) can be computed by series expansions and analyzed with Padé approximations. We consider the applications of efficient Monte Carlo computer simulation method (event-driven method) to random sequential adsorptions with high precision and at very long-time scale.

Keywords: Random sequential adsorption; Surface irreversible deposition; Series expansion; Event-driven algorithm (search for similar items in EconPapers)
Date: 1998
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:254:y:1998:i:1:p:179-184

DOI: 10.1016/S0378-4371(98)00028-4

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