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We have investigated the anomalous scaling behaviour of the Ising model on small-world networks based on 2- and 3-dimensional lattices using Monte Carlo simulations. Our main result is that even at low $p$, the shift in the critical…

无序系统与神经网络 · 物理学 2007-05-23 K. A. Hawick , H. A. James

We apply extensive Monte Carlo simulations to study the probability distribution $P(m)$ of the order parameter $m$ for the simple cubic Ising model with periodic boundary condition at the transition point. Sampling is performed with the…

计算物理 · 物理学 2020-03-18 Jiahao Xu , Alan M. Ferrenberg , David P. Landau

We present the results of extensive Monte Carlo simulations of Ising models with algebraically decaying ferromagnetic interactions in the regime where classical critical behavior is expected for these systems. We corroborate the values for…

统计力学 · 物理学 2009-10-30 Erik Luijten , Henk W. J. Blöte

We study the early time dynamics of the 2d ferromagnetic Ising model instantaneously quenched from the disordered to the ordered, low temperature, phase. We evolve the system with kinetic Monte Carlo rules that do not conserve the order…

统计力学 · 物理学 2018-02-07 Thibault Blanchard , Leticia F. Cugliandolo , Marco Picco , Alessandro Tartaglia

Recently we reported some interesting features of the Wolff's algorithm behavior when applied to the site-bond-correlated Ising model.Our main results were that a stronger correlation diminishes the autocorrelation time but it does not…

统计力学 · 物理学 2009-09-25 P. R. A. Campos , N. G. F. de Medeiros , R. N. Onody

We present a procedure to solve the inverse Ising problem, that is to find the interactions between a set of binary variables from the measure of their equilibrium correlations. The method consists in constructing and selecting specific…

无序系统与神经网络 · 物理学 2015-05-30 Simona Cocco , Rémi Monasson

Large deviations for additive path functionals of stochastic processes have attracted significant research interest, in particular in the context of stochastic particle systems and statistical physics. Efficient numerical `cloning'…

概率论 · 数学 2021-07-21 Letizia Angeli , Stefan Grosskinsky , Adam M. Johansen

In recent years, a better understanding of the Monte Carlo method has provided us with many new techniques in different areas of statistical physics. Of particular interest are so called cluster methods, which exploit the considerable…

统计力学 · 物理学 2007-05-23 Werner Krauth

Numerical transfer-matrix methods are applied to two-dimensional Ising spin systems, in presence of a confining magnetic field which varies with distance $|{\vec x}|$ to a "trap center", proportionally to $(|{\vec x}|/\ell)^p$, $p>0$. On a…

统计力学 · 物理学 2010-05-28 S. L. A. de Queiroz , R. R. dos Santos , R. B. Stinchcombe

In three dimensions, or more generally, below the upper critical dimension, scaling laws for critical phenomena seem well understood, for both infinite and for finite systems. Above the upper critical dimension of four, finite-size scaling…

统计力学 · 物理学 2007-05-23 M. A. Sumour , D. Stauffer , M. M. Shabat , A. H. El-Astal

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

In finite-size scaling analyses of Monte Carlo simulations of second-order phase transitions one often needs an extended temperature/energy range around the critical point. By combining the replica-exchange algorithm with cluster updates…

统计力学 · 物理学 2011-08-20 Wolfhard Janke , Elmar Bittner

We study the 2-dimensional Ising model at critical temperature on a simply connected subset $\Omega_{\delta}$ of the square grid $\delta\mathbb{Z}^{2}$. The scaling limit of the critical Ising model is conjectured to be described by…

数学物理 · 物理学 2018-11-26 Reza Gheissari , Clément Hongler , S. C. Park

We propose three physical tests to measure correlations in random numbers used in Monte Carlo simulations. The first test uses autocorrelation times of certain physical quantities when the Ising model is simulated with the Wolff algorithm.…

凝聚态物理 · 物理学 2009-10-22 I. Vattulainen , T. Ala-Nissila , K. Kankaala

We study the scaling of the average cluster size and percolation strength of geometrical clusters for the two-dimensional Ising model. By means of Monte Carlo simulations and a finite-size scaling analysis we discuss the appearance of…

统计力学 · 物理学 2022-04-04 Michail Akritidis , Nikolaos G. Fytas , Martin Weigel

We present results of extensive bit level tests on some pseudorandom number generators which are commonly used in physics applications. The generators have first been tested with an extended version of the $d$-tuple test. Second, we have…

高能物理 - 格点 · 物理学 2009-10-22 K. Kankaala , T. Ala-Nissila , I. Vattulainen

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

The fractal dimensions and the percolation exponents of the geometrical spin clusters of like sign at criticality, are obtained numerically for an Ising model with temperature-dependent annealed bond dilution, also known as the thermalized…

统计力学 · 物理学 2012-04-03 S. Davatolhagh , M. Moshfeghian , A. A. Saberi

We investigate a two-dimensional Ising model with long-range interactions that emerge from a generalization of the magnetic dipolar interaction in spin systems with in-plane spin orientation. This interaction is, in general, anisotropic…

统计力学 · 物理学 2009-11-10 Daniel Grüneberg , Alfred Hucht

We use extensive Monte Carlo transfer matrix calculations on infinite strips of widths $L$ up to 30 lattice spacing and a finite-size scaling analysis to obtain critical exponents and conformal anomaly number $c$ for the two-dimensional…

凝聚态物理 · 物理学 2009-10-28 M. P. Nightingale , E. Granato , J. M. Kosterlitz