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相关论文: Percolation of randomly distributed growing cluste…

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We investigate the problem of growing clusters, which is modeled by two dimensional disks and three dimensional droplets. In this model we place a number of seeds on random locations on a lattice with an initial occupation probability, $p$.…

统计力学 · 物理学 2015-01-28 N. Tsakiris , M. Maragakis , K. Kosmidis , P. Argyrakis

A two parameter percolation model with nucleation and growth of finite clusters is developed taking the initial seed concentration \rho and a growth parameter g as two tunable parameters. Percolation transition is determined by the final…

统计力学 · 物理学 2016-11-30 Bappaditya Roy , S. B. Santra

The finite-size scaling theory for continuous phase transition plays an important role in determining critical point and critical exponents from the size-dependent behaviors of quantities in the thermodynamic limit. For percolation phase…

统计力学 · 物理学 2017-10-10 Yong Zhu , Xiaosong Chen

Transient dynamics leading to the synchrony of pulse-coupled oscillators has previously been studied as an aggregation process of synchronous clusters, and a rate equation for the cluster size distribution has been proposed. However, the…

统计力学 · 物理学 2023-03-06 Gangyong Gwon , Young Sul Cho

A random growth lattice filling model of percolation with touch and stop growth rule is developed and studied numerically on a two dimensional square lattice. Nucleation centers are continuously added one at a time to the empty sites and…

统计力学 · 物理学 2018-06-13 Bappaditya Roy , S. B. Santra

We consider the "Touch and Stop" cluster growth percolation (CGP) model on the two dimensional square lattice. A key-parameter in the model is the fraction p of occupied "seed" sites that act as nucleation centers from which a particular…

统计力学 · 物理学 2013-03-14 O. Melchert

We study non-uniform percolation in a two-dimensional cluster growth model with multiple seeds. With increasing concentration of seeds, the percolation threshold is found to increase monotonically, while the exponents for correlation…

无序系统与神经网络 · 物理学 2014-10-08 Hongting Yang , Stephan Haas

Percolation refers to the emergence of a giant connected cluster in a disordered system when the number of connections between nodes exceeds a critical value. The percolation phase transitions were believed to be continuous until recently…

无序系统与神经网络 · 物理学 2015-02-13 R. A. da Costa , S. N. Dorogovtsev , A. V. Goltsev , J. F. F. Mendes

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

We propose a novel finite size scaling analysis for percolation transition observed in complex networks. While it is known that cooperative systems in growing networks often undergo an infinite order transition with inverted…

无序系统与神经网络 · 物理学 2013-11-08 Takehisa Hasegawa , Tomoaki Nogawa , Koji Nemoto

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

Recently, a hybrid percolation transitions (HPT) that exhibits both a discontinuous transition and critical behavior at the same transition point has been observed in diverse complex systems. In spite of considerable effort to develop the…

统计力学 · 物理学 2017-11-01 K. Choi , Deokjae Lee , Y. S. Cho , J. C. Thiele , H. J. Herrmann , B. Kahng

We present a unifying, consistent, finite-size-scaling picture for percolation theory bringing it into the framework of a general, renormalization-group-based, scaling scheme for systems above their upper critical dimensions $d_c$.…

统计力学 · 物理学 2017-05-16 Ralph Kenna , Bertrand Berche

Consider growing a network, in which every new connection is made between two disconnected nodes. At least one node is chosen randomly from a subset consisting of $g$ fraction of the entire population in the smallest clusters. Here we show…

统计力学 · 物理学 2016-01-20 Y. S. Cho , J. S. Lee , H. J. Herrmann , B. Kahng

In this work, we study the percolation transition and large deviation properties of generalized canonical network ensembles. This new type of random networks might have a very rich complex structure, including high heterogeneous degree…

统计力学 · 物理学 2009-05-15 Serena Bradde , Ginestra Bianconi

We have investigated both site and bond percolation on two dimensional lattice under the random rule and the product rule respectively. With the random rule, sites or bonds are added randomly into the lattice. From two candidates picked…

统计力学 · 物理学 2015-09-02 Yong Zhu , Ziqing Yang , Xin Zhang , Xiaosong Chen

A approach of finite size scaling theory for discontinous percolation with multiple giant clusters is developed in this paper. The percolation in generalized Bohman-Frieze-Wormald (BFW) model has already been proved to be discontinuous…

统计力学 · 物理学 2017-10-10 Yong Zhu , Xiaosong Chen

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 percolation of strongly connected clusters (SCCs), in which sites are mutually reachable through directed paths, in systems with randomly oriented bonds by extensive simulations on hypercubic lattices from dimension $d=2$ to…

统计力学 · 物理学 2026-05-19 Qi Wang , Ming Li

The critical phase of bond percolation on the random growing tree is examined. It is shown that the root cluster grows with the system size $N$ as $N^\psi$ and the mean number of clusters with size $s$ per node follows a power function $n_s…

无序系统与神经网络 · 物理学 2011-04-21 Takehisa Hasegawa , Koji Nemoto
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