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相关论文: Enclosed area distribution in percolation

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The scaling properties of self-avoiding walks on a d-dimensional diluted lattice at the percolation threshold are analyzed by a field-theoretical renormalization group approach. To this end we reconsider the model of Y. Meir and A. B.…

软凝聚态物质 · 物理学 2009-11-10 C. von Ferber , V. Blavats'ka , R. Folk , Yu. Holovatch

Geometric representations provide a useful perspective on critical phenomena in the Ising model. In a recent study [Phys. Rev. E 112, 034118 (2025)], we found that the two-dimensional critical Ising model exhibits two consecutive…

统计力学 · 物理学 2026-04-08 Jinhong Zhu , Tao Chen , Zhiyi Li , Sheng Fang , Youjin Deng

The fractal structure and scaling properties of a 2d slice of the 3d Ising model is studied using Monte Carlo techniques. The percolation transition of geometric spin (GS) clusters is found to occur at the Curie point, reflecting the…

统计力学 · 物理学 2011-01-20 Abbas Ali Saberi , Horr Dashti-Naserabadi

The probabilities of clusters spanning a hypercube of dimensions two to seven along one axis of a percolation system under criticality were investigated numerically. We used a modified Hoshen--Kopelman algorithm combined with Grassberger's…

统计力学 · 物理学 2009-11-07 Lev N. Shchur , Timofey Rostunov

We consider long-range Bernoulli bond percolation on the $d$-dimensional hierarchical lattice in which each pair of points $x$ and $y$ are connected by an edge with probability $1-\exp(-\beta\|x-y\|^{-d-\alpha})$, where $0<\alpha<d$ is…

概率论 · 数学 2022-11-11 Tom Hutchcroft

We consider the densities of clusters, at the percolation point of a two-dimensional system, which are anchored in various ways to an edge. These quantities are calculated by use of conformal field theory and computer simulations. We find…

无序系统与神经网络 · 物理学 2009-11-11 P. Kleban , J. J. H. Simmons , R. M. Ziff

The study of the Ising model from a percolation perspective has played a significant role in the modern theory of critical phenomena. We consider the celebrated square-lattice Ising model and construct percolation clusters by placing bonds,…

统计力学 · 物理学 2025-09-30 Tao Chen , Jinhong Zhu , Wei Zhong , Sheng Fang , Youjin Deng

We study the number of clusters in two-dimensional (2d) critical percolation, N_Gamma, which intersect a given subset of bonds, Gamma. In the simplest case, when Gamma is a simple closed curve, N_Gamma is related to the entanglement entropy…

统计力学 · 物理学 2012-12-18 István A. Kovács , Ferenc Iglói , John Cardy

Consider a Boolean model $\Sigma$ in $\R^d$. The centers are given by a homogeneous Poisson point process with intensity $\lambda$ and the radii of distinct balls are i.i.d.\ with common distribution $\nu$. The critical covered volume is…

概率论 · 数学 2013-03-21 Jean-Baptiste Gouéré , Regine Marchand

The width W of the active region around an active moving wall in a directed percolation process diverges at the percolation threshold p_c as W \simeq A \epsilon^{-\nu_\parallel} \ln(\epsilon_0/\epsilon), with \epsilon=p_c-p, \epsilon_0 a…

统计力学 · 物理学 2009-10-31 Chun-Chung Chen , Hyunggyu Park , Marcel den Nijs

The partition function of the finite $1+\epsilon$ state Potts model is shown to yield a closed form for the distribution of clusters in the immediate vicinity of the percolation transition. Various important properties of the transition are…

统计力学 · 物理学 2009-10-30 Joseph Rudnick , Paisan Nakmahachalasint , George Gaspari

We study the distribution of domain areas, areas enclosed by domain boundaries (''hulls''), and perimeters for curvature-driven two-dimensional coarsening, employing a combination of exact analysis and numerical studies, for various initial…

统计力学 · 物理学 2009-11-13 Alberto Sicilia , Jeferson J. Arenzon , Alan J. Bray , Leticia F. Cugliandolo

Explosive percolation in the Achlioptas process has recently attracted much research attention. From extensive simulations in an event-based ensemble, we find that, in dimensions from $2$ to $6$ and on random graphs, the Achlioptas…

统计力学 · 物理学 2022-08-23 Ming Li , Junfeng Wang , Youjin Deng

We consider self-avoiding walks (SAWs) on the backbone of percolation clusters in space dimensions d=2, 3, 4. Applying numerical simulations, we show that the whole multifractal spectrum of singularities emerges in exploring the…

无序系统与神经网络 · 物理学 2009-11-13 Viktoria Blavatska , Wolfhard Janke

We investigate the geometry of a critical system undergoing a second order thermal phase transition. Using a local description for the dynamics characterizing the system at the critical point T=Tc, we reveal the formation of clusters with…

高能物理 - 唯象学 · 物理学 2009-10-31 N. G. Antoniou , Y. F. Contoyiannis , F. K. Diakonos

Numerical investigation of critical exponents on a hypercubic with L^d random sites with L up to $33 and d up to 7 show that above the critical dimension the phase transitions in Ising model and percolation are not alike.

无序系统与神经网络 · 物理学 2009-11-10 Lotfi Zekri

Explosive percolation in the Achlioptas process, which has attracted much research attention, is known to exhibit a rich variety of critical phenomena that are anomalous from the perspective of continuous phase transitions. Hereby, we show…

统计力学 · 物理学 2023-04-06 Ming Li , Junfeng Wang , Youjin Deng

We study the behavior of scale-free networks, having connectivity distribution P(k) k^-a, close to the percolation threshold. We show that for networks with 3<a<4, known to undergo a transition at a finite threshold of dilution, the…

无序系统与神经网络 · 物理学 2009-11-07 Reuven Cohen , Daniel ben-Avraham , Shlomo Havlin

In critical percolation models, in a large cube there will typically be more than one cluster of comparable diameter. In 2D, the probability of $k>>1$ spanning clusters is of the order $e^{-\alpha k^{2}}$. In dimensions d>6, when $\eta = 0$…

凝聚态物理 · 物理学 2016-08-31 Michael Aizenman

In a new type of percolation phase transition, which was observed in a set of non-equilibrium models, each new connection between vertices is chosen from a number of possibilities by an Achlioptas-like algorithm. This causes preferential…

无序系统与神经网络 · 物理学 2015-06-18 R. A. da Costa , S. N. Dorogovtsev , A. V. Goltsev , J. F. F. Mendes