# Random sequential adsorption, series expansion and Monte Carlo simulation

@article{Wang1998RandomSA,
title={Random sequential adsorption, series expansion and Monte Carlo simulation},
author={Jian-Sheng Wang},
journal={Physica A-statistical Mechanics and Its Applications},
year={1998},
volume={254},
pages={179-184}
}
• Jian-Sheng Wang
• Published 2 August 1997
• Mathematics, Physics
• Physica A-statistical Mechanics and Its Applications
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 Pade approximations. We consider the applications of efficient Monte Carlo…
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