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相关论文: Scaling behaviour of lattice animals at the upper …

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The scaling behaviour of randomly branched polymers in a good solvent is studied in two to nine dimensions, using as microscopic models lattice animals and lattice trees on simple hypercubic lattices. As a stochastic sampling method we use…

统计力学 · 物理学 2009-11-10 Hsiao-Ping Hsu , Walter Nadler , Peter Grassberger

We present an implementation of Redelemeier's algorithm for the enumeration of lattice animals in high dimensional lattices. The implementation is lean and fast enough to allow us to extend the existing tables of animal counts, perimeter…

统计力学 · 物理学 2011-10-11 Sebastian Luther , Stephan Mertens

We present Monte Carlo simulations of lattice models of polymers. These simulations are intended to demonstrate the strengths of a powerful new flat histogram algorithm which is obtained by adding microcanonical reweighting techniques to…

软凝聚态物质 · 物理学 2007-05-23 Thomas Prellberg , Jaroslaw Krawczyk , Andrew Rechnitzer

Recent advances on the glass problem motivate reexamining classical models of percolation. Here, we consider the displacement of an ant in a labyrinth near the percolation threshold on cubic lattices both below and above the upper critical…

统计力学 · 物理学 2019-02-20 Giulio Biroli , Patrick Charbonneau , Yi Hu

We describe a general strategy, PERM (Pruned-Enriched Rosenbluth Method), for sampling configurations from a given Gibbs-Boltzmann distribution. The method is not based on the Metropolis concept of establishing a Markov process whose…

软凝聚态物质 · 物理学 2007-05-23 P. Grassberger , und H. Frauenkron

We have developed an improved algorithm that allows us to enumerate the number of site animals (polyominoes) on the square lattice up to size 46. Analysis of the resulting series yields an improved estimate, $\tau = 4.062570(8)$, for the…

统计力学 · 物理学 2009-10-31 Iwan Jensen , Anthony J Guttmann

In this review, we describe applications of the pruned-enriched Rosenbluth method (PERM), a sequential Monte Carlo algorithm with resampling, to various problems in polymer physics. PERM produces samples according to any given prescribed…

软凝聚态物质 · 物理学 2015-05-28 Hsiao-Ping Hsu , Peter Grassberger

We investigate the spatial search problem on the two-dimensional square lattice, using the Dirac evolution operator discretised according to the staggered lattice fermion formalism. $d=2$ is the critical dimension for the spatial search…

量子物理 · 物理学 2011-02-28 Apoorva Patel , K. S. Raghunathan , Md. Aminoor Rahaman

We present high statistics simulations of weighted lattice bond animals and lattice trees on the square lattice, with fugacities for each non-bonded contact and for each bond between two neighbouring monomers. The simulations are performed…

软凝聚态物质 · 物理学 2009-11-11 Hsiao-Ping Hsu , Peter Grassberger

We describe an algorithm for the Rosenbluth Monte Carlo enumeration of clusters and lattice animals. The method may also be used to calculate associated properties such as moments or perimeter multiplicities of the clusters. The new scheme…

计算物理 · 物理学 2009-10-31 C M Care , R Ettelaie

Two improved versions of the pruned-enriched-Rosenbluth method (PERM) are proposed and tested on simple models of lattice heteropolymers. Both are found to outperform not only the previous version of PERM, but also all other stochastic…

统计力学 · 物理学 2009-11-07 Hsiao-Ping Hsu , Vishal Mehra , Walter Nadler , Peter Grassberger

We discuss uniform sampling algorithms that are based on stochastic growth methods, using sampling of extreme configurations of polymers in simple lattice models as a motivation. We shall show how a series of clever enhancements to a…

统计力学 · 物理学 2012-05-17 Thomas Prellberg

An improved version of the pruned-enriched-Rosenbluth method (PERM) is proposed and tested on finding lowest energy states in simple models of lattice heteropolymers. It is found to outperform not only the previous version of PERM, but also…

统计力学 · 物理学 2009-11-07 Hsiao-Ping Hsu , Vishal Mehra , Walter Nadler , Peter Grassberger

We introduce a method for translating any upper bound on the percolation threshold of a lattice $G$ into a lower bound on the exponential growth rate $a(G)$ of lattice animals and vice-versa. We exploit this in both directions. We improve…

概率论 · 数学 2021-07-14 Agelos Georgakopoulos , Christoforos Panagiotis

We propose a lattice model for Dirac fermions which allows us to break the degeneracy of the node structure. In the presence of a random gap we analyze the scaling behavior of the localization length as a function of the system width within…

无序系统与神经网络 · 物理学 2014-12-23 A. Hill , K. Ziegler

We present Monte Carlo simulations of semidilute solutions of long self-attracting chain polymers near their Ising type critical point. The polymers are modeled as monodisperse self-avoiding walks on the simple cubic lattice with attraction…

软凝聚态物质 · 物理学 2009-10-30 H. Frauenkron , P. Grassberger , HLRZ Juelich , Germany

Finite-size scaling above the upper critical dimension is a long-standing puzzle in the field of Statistical Physics. Even for pure systems various scaling theories have been suggested, partially corroborated by numerical simulations. In…

统计力学 · 物理学 2023-10-30 Nikolaos G. Fytas , Victor Martin-Mayor , Giorgio Parisi , Marco Picco , Nicolas Sourlas

We simulate the spin-1/2 Ising model and the Blume-Capel model at various values of the parameter D on the simple cubic lattice. We perform a finite size scaling study of lattices of a linear size up to L=360 to obtain accurate estimates…

统计力学 · 物理学 2013-05-29 Martin Hasenbusch

Logarithmic finite-size scaling of the O($n$) universality class at the upper critical dimensionality ($d_c=4$) has a fundamental role in statistical and condensed-matter physics and important applications in various experimental systems.…

统计力学 · 物理学 2021-04-13 Jian-Ping Lv , Wanwan Xu , Yanan Sun , Kun Chen , Youjin Deng

We present here the systematic development of quantitative lattice simulations of dense polymers through a novel computational technique that allows for an efficient accounting of the chain conformations. Our approach is based on the…

软凝聚态物质 · 物理学 2008-05-06 Jaydeep A. Kulkarni , Joydeep Mukherjee , Ryan C. Snyder , Timothy W. King , Antony N. Beris
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