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Dynamic Monte Carlo method
About: Dynamic Monte Carlo method is a research topic. Over the lifetime, 13294 publications have been published within this topic receiving 371256 citations.
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TL;DR: Simulations Monte Carlo d'un systeme de Lennard-Jones a deux composantes qui forme spontanement un etat quasicristallin.
Abstract: We obtain quasicrystalline structures in Monte Carlo simulations of a simple two-component Lennard-Jones system in two dimensions. The quasicrystal, which shows tenfold symmetry, appears to be an equilibrium state of the system. Although the structure corresponds to tiling of the plane with rhombuses, it is not a Penrose pattern.
118 citations
TL;DR: In this paper, the ground state energies and structural properties for small clusters of 4He computed with the diffusion quantum Monte Carlo (DMC) method combined with high quality trial wave functions and using the analytical pair potential of Tang, Toennies, and Yiu are reported for comparison.
Abstract: We report accurate ground state energies and structural properties for small clusters of 4He computed with the diffusion quantum Monte Carlo (DMC) method combined with high quality trial wave functions and using the recent analytical pair potential of Tang, Toennies, and Yiu [Phys. Rev. Lett. 74, 1546 (1995)]. Calculations based on the older HFD-B(He) potential are reported for comparison. The clusters are found to be extremely floppy and to be characterized by very diffuse wave functions. The DMC results for 4He2 and 4He3 are in excellent agreement with other calculations using conventional methods. 4He3 is found to have a noticeable contribution from nearly linear geometries. The internal structure of the clusters is described by a three particle correlation function which reveals a significantly non-spherical internal cluster structure. The energies for all cluster sizes are found to be slightly higher than those obtained with the HFD-B(He) pair potential. Exploratory calculations on the helium trimer ...
118 citations
Book•
01 Jan 1992
TL;DR: Specific topics covered include the optimization of randomized algorithms for estimating probabilistic characteristics of equations with random parameters and applications; computational models for random fields and numerical simulations.
Abstract: Weighted Monte Carlo algorithms are useful when direct simulation techniques are inapplicable or ineffective in computer science and technology. This book presents methods which minimize the computer time and memory required in constructing statistical models for systems described by integral equations. Specific topics covered include the optimization of randomized algorithms for estimating probabilistic characteristics of equations with random parameters and applications; computational models for random fields and numerical simulations; vector Monte Carlo algorithms for solving systems of integral equations; and a special approach to the application of perturbation theory based on this method.
118 citations
TL;DR: VMC++ as mentioned in this paper is a package for the class II condensed history Monte Carlo simulation of coupled electron-photon transport optimized for three dimensional dose calculations used in the treatment planning of cancer patients irradiated with photons and/or electrons (RTP).
118 citations
TL;DR: In this article, Monte Carlo free energy results for a fluid of point dipoles embedded in hard spheres are reported for a multistage sampling method compared with thermodynamic integration techniques, and the resulting free energies are compared with recent theoretical results obtained from the mean spherical model approximation and from a perturbation theory approach.
118 citations