Titlebook: Computer Simulation Studies in Condensed Matter Physics; Recent Developments David P. Landau,K. K. Mon,Heinz-Bernd Schüttler Conference pr

expansive

嚴(yán)厲批評

受辱

男生如果明白

Introduction included, the ensemble to be used, and even the questions to be answered. Simulations provide not only numerical data but also allow the visualization of microscopic behavior (through graphics output) which helps flesh out our intuitive understanding of the processes at work. Early work was done us

Acclaim

myopia

Multigrid Monte Carlo Methodsto take only a finite amount of computer time even as the paths are discretized on infinitesimally small scales. A method for eliminating critical slowing down completely — even for models with discrete degrees of freedom, as in Potts models, or discrete excitations, such as isolated vortices in the

Endearing

Monte Carlo Simulations Using the Gaussian Ensemble functional form for its entropy. This ensemble is intermediate to the microcanonical (N’=0) and canonical (N’=∟) ensembles and can be made to attain these limiting cases by continuously varying N’. If N’ is small enough, the ensemble allows us to sample the intermediate states (with negative heat c

倔強一點

Classical Spin Dynamics in the Two-Dimensional Anisotropic Heisenberg Modelplane anisotropy, as a function of the anisotropy parameter λ = J./J.. Continuum limit equations of motion exhibit two types of static vortex solutions, with and without out-of-plane spin components. We have studied numerically the stability of these solutions and have found that for λ ? 0.7 only th

十字架

Simulation Study of Light Scattering from Soot Agglomerates available. This point is illustrated here where a Langevin dynamics model of the formation of sooty smoke via an agglomeration process is used to determine what sort of information is available in light scattering measurements. [1] It is generally accepted that soot forms by agglomeration of small,

concise

Growth by Gradients: Fractal Growth and Pattern Formation in a Laplacian Fieldtside. For example, the rate of growth in aggregation processes [1, 2] depends on the concentration of diffusing particles, in solidification [3] it depends on the temperature gradient, in dielectric breakdown [4] it is proportional to some power of the electric field, in electrodeposition [5, 6] it