0000000000061859

AUTHOR

Jian-sheng Wang

0000-0002-5119-8382

showing 8 related works from this author

Locally Frozen Defects in Random Sequential Adsorption with Diffusional Relaxation

1993

Random sequential adsorption with diffusional relaxation, of two by two square objects on the two-dimensional square lattice is studied by Monte Carlo computer simulation. Asymptotically for large lattice sizes, diffusional relaxation allows the deposition process to reach full coverage. The coverage approaches the full occupation value, 1, as a power-law with convergence exponent near 1/2. For a periodic lattice of finite (even) size $L$, the final state is a frozen random rectangular grid of domain walls connecting single-site defects. The domain sizes saturate at L**0.8. Prior to saturation, i.e., asymptotically for infinite lattice, the domain growth is power-law with growth exponent ne…

Statistics and ProbabilityPeriodic latticeMaterials scienceCondensed matter physicsCondensed Matter (cond-mat)Monte Carlo methodFOS: Physical sciencesCondensed MatterCondensed Matter PhysicsFull coverageSquare latticeRandom sequential adsorptionLattice (order)ExponentDeposition process
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Continuum limit in random sequential adsorption.

1991

We develop analytical estimates of the late-stage (long-time) asymptotic behavior of the coverage in the D-dimensional lattice models of irreversible deposition of hypercube-shaped particles. Our results elucidate the crossover from the exponential time dependence for the lattice case to the power-law behavior with a multiplicative logarithmic factor, in the continuum deposition. Numerical Monte Carlo results are reported for the two-dimensional (2D) deposition, both lattice and continuum. Combined with the exact 1D results, they are used to test the general theoretical expectations for the late-stage deposition kinetics. New accurate estimates of the jamming coverages in 2D rule out some e…

PhysicsRandom sequential adsorptionLogarithmLattice (order)Monte Carlo methodCrossoverMultiplicative functionJammingStatistical physicsExponential functionPhysical review. B, Condensed matter
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Irreversible Multilayer Adsorption

1993

Random sequential adsorption (RSA) models have been studied due to their relevance to deposition processes on surfaces. The depositing particles are represented by hard-core extended objects; they are not allowed to overlap. Numerical Monte Carlo studies and analytical considerations are reported for 1D and 2D models of multilayer adsorption processes. Deposition without screening is investigated, in certain models the density may actually increase away from the substrate. Analytical studies of the late stage coverage behavior show the crossover from exponential time dependence for the lattice case to the power law behavior in the continuum deposition. 2D lattice and continuum simulations r…

Materials scienceAdsorptionRandom sequential adsorptionCondensed matter physicsLattice (order)CrossoverLate stageMonte carlo studiesPower lawExponential function
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Chain linear dimensions in the surface-enriched layer of polymer mixtures

1992

We calculate the mean-square end-to-end distances and mean-square gyration radii using the bond fluctuation model for a binary polymer blend in the presence of a wall by Monte Carlo simulation. In the bulk, the size of the minority, low-concentration polymer species is compressed compared to the majority one. In the vicinity of the wall, where the minority polymer concentration is enriched due to attraction from the wall, the dimensions of the two types of polymers are approximately equal and are essentially the same as in an athermal polymer melt. Thus, the geometric constraint is more important to the structure of the polymers than the polymer-polymer and polymer-wall interactions.

chemistry.chemical_classificationSurface (mathematics)Quantitative Biology::BiomoleculesMonte Carlo methodMineralogyPolymer architecturePolymerGyrationCondensed Matter::Soft Condensed MatterchemistryChain (algebraic topology)Chemical physicsPolymer blendLayer (electronics)Die Makromolekulare Chemie, Theory and Simulations
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Analysis of multilayer adsorption models without screening

1991

A class of recently introduced irreversible multilayer adsorption models without screening is analysed. The basic kinetic process of these models leads to power law behaviour for the decay of the jamming coverage as a function of height. The authors find the exact value for the power law exponent. An approximate analytical treatment of these models and previous Monte Carlo simulations are found to be in good agreement.

Hybrid Monte CarloMaterials scienceMonte Carlo methodDynamic Monte Carlo methodGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMonte Carlo method in statistical physicsStatistical physicsKinetic Monte CarloDirect simulation Monte CarloPower lawMathematical PhysicsMonte Carlo molecular modelingJournal of Physics A: Mathematical and General
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CLUSTER MONTE CARLO ALGORITHMS IN STATISTICAL MECHANICS

1992

The cluster Monte Carlo method, where variables are updated in groups, is very efficient at second order phase transitions. Much better results can be obtained with less computer time. This article reviews the method of Swendsen and Wang and some of its applications.

Computer scienceMonte Carlo methodGeneral Physics and AstronomyStatistical and Nonlinear PhysicsComputer Science ApplicationsHybrid Monte CarloComputational Theory and MathematicsDynamic Monte Carlo methodMonte Carlo integrationMonte Carlo method in statistical physicsStatistical physicsQuasi-Monte Carlo methodParallel temperingAlgorithmMathematical PhysicsMonte Carlo molecular modelingInternational Journal of Modern Physics C
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Collective Effects in Random Sequential Adsorption of Diffusing Hard Squares

1992

We study by Monte Carlo computer simulations random sequential adsorption (RSA) with diffusional relaxation, of lattice hard squares in two dimensions. While for RSA without diffusion the coverage approaches its maximum jamming value (large-time fractional coverage) exponentially, added diffusion allows the deposition process to proceed to the full coverage. The approach to the full coverage is consistent with the t**(-1/2) power law reminiscent of the equilibrium cluster coarsening in models with nonconserved order-parameter dynamics.

PhysicsCondensed Matter (cond-mat)High Energy Physics - Lattice (hep-lat)Monte Carlo methodFOS: Physical sciencesStatistical and Nonlinear PhysicsJammingCondensed MatterCondensed Matter PhysicsFull coveragePower lawRandom sequential adsorptionHigh Energy Physics - LatticeExponential growthLattice (order)Statistical physicsDeposition process
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Cluster Monte Carlo algorithms

1990

Abstract The Swendsen-Wang and Wolff Monte Carlo algorithms are described in some detail, using the Potts model as an example. Various generalizations are then reviewed and some applications are discussed. Two complete Fortran programs for the algorithms are provided.

Statistics and ProbabilityHigh Energy Physics::LatticeMonte Carlo methodCondensed Matter PhysicsHybrid Monte CarloCondensed Matter::Statistical MechanicsDynamic Monte Carlo methodMonte Carlo integrationMonte Carlo method in statistical physicsQuasi-Monte Carlo methodKinetic Monte CarloStatistical physicsAlgorithmMathematicsMonte Carlo molecular modelingPhysica A: Statistical Mechanics and its Applications
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