Random sequential adsorption, series expansion and Monte Carlo simulation
نویسندگان
چکیده
منابع مشابه
Random Sequential Adsorption, Series Expansion and Monte Carlo Simulation
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−c t , 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 expa...
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We discuss two important techniques, series expansion and Monte Carlo simulation, for random sequential adsorption study. Random sequential adsorption is an idealization for surface deposition where the time scale of particle relaxation is much longer than the time scale of deposition. Particles are represented as extended objects which are adsorbed to a continuum surface or lattice sites. Once...
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We’introduce an operator formalism for random sequential adsorption on lattices and in continuous space. This provides a convenient framework for deriving series expansions for the deposition rate de /dt in powers oft. Several specific examples-the square lattice with nearestneighbor exclusion, and with exclusion extended to next-nearest neighbors, and disks and oriented squares on the plane-ar...
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ژورنال
عنوان ژورنال: Physica A: Statistical Mechanics and its Applications
سال: 1998
ISSN: 0378-4371
DOI: 10.1016/s0378-4371(98)00028-4