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相关论文: Single-Cluster Monte Carlo Study of the Ising Mode…

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We use the single-cluster Monte Carlo update algorithm to simulate the Ising model on two-dimensional Poissonian random lattices of Delaunay type with up to 80\,000 sites. By applying reweighting techniques and finite-size scaling analyses…

高能物理 - 格点 · 物理学 2009-10-22 W. Janke , M. Katoot , R. Villanova

We report single-cluster Monte Carlo simulations of the Ising model on three-dimensional Poissonian random lattices with up to 128,000 approx. 503 sites which are linked together according to the Voronoi/Delaunay prescription. For each…

无序系统与神经网络 · 物理学 2009-11-07 W. Janke , R. Villanova

The single-cluster Monte Carlo algorithm and the reweighting technique are used to simulate the 3D-ferromagnetic Ising model on three dimensional Voronoi-Delaunay lattices. It is assumed that the coupling factor $J$ varies with the distance…

无序系统与神经网络 · 物理学 2007-05-23 F. W. S. Lima , U. M. S. Costa , R. N. Costa Filho

We investigate the critical properties of the Ising model in two dimensions on {\it directed} small-world lattice with quenched connectivity disorder. The disordered system is simulated by applying the Monte Carlo update heat bath…

无序系统与神经网络 · 物理学 2013-07-04 Ediones M. Sousa , F. W. S. Lima

The Ising model S=1/2 and the S=1 model are studied by efficient Monte Carlo schemes on the (3,4,6,4) and the (3,3,3,3,6) Archimedean lattices. The algorithms used, a hybrid Metropolis-Wolff algorithm and a parallel tempering protocol, are…

统计力学 · 物理学 2015-06-04 A. Malakis , G. Gulpinar , Y. Karaaslan , T. Papakonstantinou , G. Aslan

We have simulated the three-dimensional Heisenberg model on simple cubic lattices, using the single-cluster Monte Carlo update algorithm. The expected pronounced reduction of critical slowing down at the phase transition is verified. This…

高能物理 - 格点 · 物理学 2009-10-22 Christian Holm , Wolfhard Janke

We study the two-dimensional Ising model on a network with a novel type of quenched topological (connectivity) disorder. We construct random lattices of constant coordination number and perform large scale Monte Carlo simulations in order…

统计力学 · 物理学 2018-03-07 Manuel Schrauth , Julian A. J. Richter , Jefferson S. E. Portela

Using the newly proposed probability-changing cluster (PCC) Monte Carlo algorithm, we simulate the two-dimensional (2D) site-diluted Ising model. Since we can tune the critical point of each random sample automatically with the PCC…

统计力学 · 物理学 2009-11-07 Yusuke Tomita , Yutaka Okabe

With Monte Carlo methods, we investigate the universality class of the depinning transition in the two-dimensional Ising model with quenched random fields. Based on the short-time dynamic approach, we accurately determine the depinning…

计算物理 · 物理学 2012-03-01 X. P. Qin , B. Zheng , N. J. Zhou

We investigate three Ising models on the simple cubic lattice by means of Monte Carlo methods and finite-size scaling. These models are the spin-1/2 Ising model with nearest-neighbor interactions, a spin-1/2 model with nearest-neighbor and…

凝聚态物理 · 物理学 2009-10-28 Henk W. J. Blöte , Erik Luijten , Jouke R. Heringa

The class of random-cluster models is a unification of a variety of stochastic processes of significance for probability and statistical physics, including percolation, Ising, and Potts models; in addition, their study has impact on the…

概率论 · 数学 2007-05-23 Geoffrey Grimmett

With the developed "extended Monte Calro" (EMC) algorithm, we have studied the depinning transition in Ising-type lattice models by extensive numerical simulations, taking the random-field Ising model with a driving field and the driven…

统计力学 · 物理学 2016-10-20 Lisha Sia , Xiaoyun Liao , Nengji Zhou

We present a detailed description of the idea and procedure for the newly proposed Monte Carlo algorithm of tuning the critical point automatically, which is called the probability-changing cluster (PCC) algorithm [Y. Tomita and Y. Okabe,…

统计力学 · 物理学 2009-11-07 Yusuke Tomita , Yutaka Okabe

Using a cluster-flipping Monte Carlo algorithm combined with a generalization of the histogram reweighting scheme of Ferrenberg and Swendsen, we have studied the equilibrium properties of the thermal random-field Ising model on a cubic…

凝聚态物理 · 物理学 2009-10-28 M. E. J. Newman , G. T. Barkema

We perform Monte Carlo simulations, combining both the Wang-Landau and the Metropolis algorithms, to investigate the phase diagrams of the Blume-Capel model on different types of nonregular lattices (Lieb lattice (LL), decorated triangular…

统计力学 · 物理学 2022-03-14 Mouhcine Azhari , Unjong Yu

We study the site-diluted Ising model in two dimensions with Monte Carlo simulations. Using finite-size scaling techniques we compute the critical exponents observing deviations from the pure Ising ones. The differences can be explained as…

无序系统与神经网络 · 物理学 2009-10-30 H. G. Ballesteros , L. A. Fernandez , V. Martin-Mayor , A. Munoz Sudupe , G. Parisi , J. J. Ruiz-Lorenzo

The influence of random site dilution on the critical properties of the two-dimensional Ising model on a square lattice was explored by Monte Carlo simulations with the Wang-Landau sampling. The lattice linear size was $L = 20-120$ and the…

统计力学 · 物理学 2008-07-02 I. A. Hadjiagapiou , A. Malakis , S. S. Martinos

While the 3d Ising model has defied analytic solution, various numerical methods like Monte Carlo, MCRG and series expansion have provided precise information about the phase transition. Using Monte Carlo simulation that employs the Wolff…

计算物理 · 物理学 2018-06-12 Alan M. Ferrenberg , Jiahao Xu , David P. Landau

In this paper we propose a Monte Carlo method for generating finite-domain marginals of critical distributions of statistical models in infinite volume. The algorithm corrects the problem of the long-range effects of boundaries associated…

统计力学 · 物理学 2016-11-09 Victor Herdeiro , Benjamin Doyon

We present an extension of the so-called cumulant crossing method which is used for determination of critical point in Monte Carlo simulations.The new method uses linear combination of several different order-parameter moments and almost…

凝聚态物理 · 物理学 2007-05-23 M. Itakura
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