Please use this identifier to cite or link to this item:
Title: Random sequential adsorption, series expansion and Monte Carlo simulation
Authors: Wang, J.-S. 
Keywords: Event-driven algorithm
Random sequential adsorption
Series expansion
Surface irreversible deposition
Issue Date: 15-May-1998
Source: Wang, J.-S. (1998-05-15). Random sequential adsorption, series expansion and Monte Carlo simulation. Physica A: Statistical Mechanics and its Applications 254 (1-2) : 179-184. ScholarBank@NUS Repository.
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. © 1998 Elsevier Science B.V. All rights reserved.
Source Title: Physica A: Statistical Mechanics and its Applications
ISSN: 03784371
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Mar 9, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.