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相关论文: The ground state energy of the Edwards-Anderson sp…

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We study the two-dimensional Edwards-Anderson spin-glass model using a parallel tempering Monte Carlo algorithm. The ground-state energy and entropy are calculated for different bond distributions. In particular, the entropy is obtained by…

统计力学 · 物理学 2015-05-28 D. J. Perez-Morelo , A. J. Ramirez-Pastor , F. Roma

Population annealing is a Monte Carlo algorithm that marries features from simulated annealing and parallel tempering Monte Carlo. As such, it is ideal to overcome large energy barriers in the free-energy landscape while minimizing a…

无序系统与神经网络 · 物理学 2015-07-08 Wenlong Wang , Jonathan Machta , Helmut G. Katzgraber

We present the results of a large-scale numerical study of the equilibrium three-dimensional Edwards-Anderson Ising spin glass with Gaussian disorder. Using parallel tempering (replica exchange) Monte Carlo we measure various static, as…

无序系统与神经网络 · 物理学 2013-01-07 Burcu Yucesoy , Jonathan Machta , Helmut G. Katzgraber

An efficient approach of measuring the absolute free energy in parallel tempering Monte Carlo using the exponential averaging method is discussed and the results are compared with those of population annealing Monte Carlo using the…

无序系统与神经网络 · 物理学 2015-05-20 Wenlong Wang

Monte Carlo simulation techniques, like simulated annealing and parallel tempering, are often used to evaluate low-temperature properties and find ground states of disordered systems. Here we compare these methods using direct calculations…

无序系统与神经网络 · 物理学 2007-05-23 J. J. Moreno , H. G. Katzgraber , Alexander K. Hartmann

We review several parallel tempering schemes and examine their main ingredients for accuracy and efficiency. The present study covers two selection methods of temperatures and several choices for the exchange of replicas, including a recent…

统计力学 · 物理学 2015-06-16 A. Malakis , T. Papakonstantinou

Monte Carlo simulations of the Ising model play an important role in the field of computational statistical physics, and they have revealed many properties of the model over the past few decades. However, the effect of frustration due to…

无序系统与神经网络 · 物理学 2017-01-04 Ye Fang , Sheng Feng , Ka-Ming Tam , Zhifeng Yun , Juana Moreno , J. Ramanujam , Mark Jarrell

We present results from simulations of the gauge glass model in three dimensions using the parallel tempering Monte Carlo technique. Critical fluctuations should not affect the data since we equilibrate down to low temperatures, for…

无序系统与神经网络 · 物理学 2007-05-23 Helmut G. Katzgraber , A. P. Young

We discuss the efficiency of the so-called parallel tempering method to equilibrate glassy systems also at low temperatures. The main focus is on two structural glass models, SiO_2 and a Lennard-Jones system, but we also investigate a fully…

统计力学 · 物理学 2007-05-23 Walter Kob , Claudio Brangian , Torsten Stuhn , Ryoichi Yamamoto

Recently a cluster Monte Carlo algorithm has been used very successfully in the two-dimensional Edwards-Anderson (EA) model. We show that this algorithm and a variant thereof can also be used successfully in models with a non-zero spin…

无序系统与神经网络 · 物理学 2015-06-24 Thomas Jorg

We report a Monte Carlo simulation of the $2D$ Edwards-Anderson spin glass model within the recently introduced multicanonical ensemble. Replica on lattices of size $L^2$ up to $L=48$ are investigated. Once a true groundstate is found, we…

高能物理 - 格点 · 物理学 2015-06-25 B. A. Berg , T. Celik

We present results of Monte Carlo simulations, using parallel tempering, on the three- and four-dimensional Edwards-Anderson Ising spin glass with Gaussian couplings at low temperatures with free boundary conditions. Our results suggest…

无序系统与神经网络 · 物理学 2007-05-23 Helmut G. Katzgraber , A. P. Young

We introduce a new update scheme to systematically improve the efficiency of parallel tempering simulations. We show that by adapting the number of sweeps between replica exchanges to the canonical autocorrelation time, the average…

统计力学 · 物理学 2008-09-26 Elmar Bittner , Andreas Nussbaumer , Wolfhard Janke

We use Monte Carlo (MC) methods to simulate a two-dimensional (2D) bond-diluted Ising model on the square lattice which has frustration between the nearest-neighbor interaction J1 and the next-nearest-neighbor interaction J2. In this paper,…

统计力学 · 物理学 2018-06-27 Yining Xu , Dao-Xin Yao

Parallel tempering, also known as replica exchange Monte Carlo, is studied in the context of two simple free energy landscapes. The first is a double well potential defined by two macrostates separated by a barrier. The second is a `golf…

统计力学 · 物理学 2013-05-29 Jon Machta

In the +-J Edwards-Anderson spin glass, we find by Monte Carlo simulation the (approximate) ground state energy. Also, we check how in the relaxation towards this ground state the fraction of never flipped spins diminishes with time.

凝聚态物理 · 物理学 2015-06-25 D. Stauffer , P. M. C. de Oliveira

We analyze the zero-temperature behavior of the XY Edwards-Anderson spin glass model on a square lattice. A newly developed algorithm combining exact ground-state computations for Ising variables embedded into the planar spins with a…

无序系统与神经网络 · 物理学 2007-05-23 Martin Weigel , Michel J. P. Gingras

We report large-scale simulations of the three-dimensional Edwards-Anderson Ising spin glass system using the recently introduced multi-overlap Monte Carlo algorithm. In this approach the temperature is fixed and two replica are coupled…

无序系统与神经网络 · 物理学 2017-09-27 Wolfhard Janke , Bernd A. Berg , Alain Billoire

For many real spin-glass materials, the Edwards-Anderson model with continuous-symmetry spins is more realistic than the rather better understood Ising variant. In principle, the nature of an occurring spin-glass phase in such systems might…

无序系统与神经网络 · 物理学 2008-04-28 Martin Weigel , Michel J. P. Gingras

We present an exact algorithm for finding all the ground states of the two-dimensional Edwards-Anderson $\pm J$ spin glass and characterize its performance. We investigate how the ground states change with increasing system size and and…

统计力学 · 物理学 2009-11-07 J. W. Landry , S. N. Coppersmith
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