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An algorithm to calculate the density of states, based on the well-known Wang-Landau method, is introduced. Independent random walks are performed in different restricted ranges of energy, and the resultant density of states is modified by…

统计力学 · 物理学 2015-06-25 R. E. Belardinelli , V. D. Pereyra

In this work we develop an implementation of the Wang--Landau algorithm [Phys. Rev. Lett. \textbf{86}, 2050-2053 (2001)]. This algorithm allows us to find the density of states (DOS), a function that, for a given system, describes the…

统计力学 · 物理学 2022-02-09 Felipe Moreno , Joaquín Peralta , Sergio Davis

We present an efficient Monte Carlo algorithm for determining the density of states which is based on the statistics of transition probabilities between states. By measuring the infinite temperature transition probabilities--that is, the…

软凝聚态物质 · 物理学 2009-11-10 M. S. Shell , P. G. Debenedetti , A. Z. Panagiotopoulos

We present modified Wang-Landau algorithm for models with continuous degrees of freedom. We demonstrate this algorithm with the calculation of the joint density of states $g(M,E)$ of ferromagnet Heisenberg models. The joint density of…

统计力学 · 物理学 2009-11-11 Chenggang Zhou , T. C. Schulthess , Stefan Torbrügge , D. P. Landau

In Wang-Landau type algorithms, Monte-Carlo updates are performed with respect to the density of states, which is iteratively refined during simulations. The partition function and thermodynamic observables are then obtained by standard…

高能物理 - 格点 · 物理学 2015-09-29 Kurt Langfeld , Biagio Lucini , Roberto Pellegrini , Antonio Rago

The 1/t Wang-Landau algorithm is analyzed from the viewpoint of execution time and accuracy when it is used in computations of the density of states of a two-dimensional Ising model. We find that the simulation results have a systematic…

无序系统与神经网络 · 物理学 2024-12-03 Vladislav Egorov , Boris Kryzhanovsky

We revisit the nature of the quasi-one-dimensional Ising model on the basis of Wang-Landau simulation. We introduce the density of states in the two-dimensional energy space corresponding to the intra- and inter-chain directions. We then…

统计力学 · 物理学 2015-05-13 Takayuki Tanabe , Kouichi Okunishi

Triangulations are important objects of study in combinatorics, finite element simulations and quantum gravity, where its entropy is crucial for many physical properties. Due to their inherent complex topological structure even the number…

计算物理 · 物理学 2015-03-05 Johannes F. Knauf , Benedikt Krüger , Klaus Mecke

Monte Carlo simulation has been performed in one-dimensional Lebwohl-Lasher model and two dimensional XY-model using the Wang-Landau and the Wang-Landau-Transition-Matrix Monte Carlo methods. Random walk has been performed in the…

统计力学 · 物理学 2010-05-27 Shyamal Bhar , Soumen Kumar Roy

We present a method for estimating the density of states of a classical statistical model. The algorithm successfully combines the Wang-Landau flat histogram method with the N-fold way in order to improve efficiency of the original single…

统计力学 · 物理学 2009-11-07 B. J. Schulz , K. Binder , M. Mueller

The Wang-Landau (WL) algorithm has been widely used for simulations in many areas of physics. Our analysis of the WL algorithm explains its properties and shows that the difference of the largest eigenvalue of the transition matrix in the…

统计力学 · 物理学 2017-10-19 L. Yu. Barash , M. A. Fadeeva , L. N. Shchur

In this work we present a theoretical analysis of the convergence of the Wang-Landau algorithm [Phys. Rev. Lett. 86, 2050 (2001)] which was introduced years ago to calculate the density of states in statistical models. We study the…

统计力学 · 物理学 2009-11-13 R. E. Belardinelli , V. D. Pereyra

We implement a Wang-Landau sampling technique in quantum Monte Carlo (QMC) for the purpose of calculating the Renyi entanglement entropies and associated mutual information. The algorithm converges an estimate for an analogue to the density…

统计力学 · 物理学 2013-01-23 Stephen Inglis , Roger G. Melko

The density of states of continuous models is known to span many orders of magnitudes at different energies due to the small volume of phase space near the ground state. Consequently, the traditional Wang-Landau sampling which uses the same…

统计力学 · 物理学 2013-11-20 Yang Wei Koh , Hwee Kuan Lee , Yutaka Okabe

We present a novel algorithm to compute the density of states, which is proven to converge to the correct result. The algorithm is very general and can be applied to a wide range of models, in the frameworks of Statistical Mechanics and…

高能物理 - 格点 · 物理学 2014-11-04 R. Pellegrini , K. Langfeld , B. Lucini , A. Rago

Monte Carlo simulations using Wang-Landau sampling are performed to study three-dimensional chains of homopolymers on a lattice. We confirm the accuracy of the method by calculating the thermodynamic properties of this system. Our results…

统计力学 · 物理学 2016-08-16 A. G. Cunha Netto , C. J. Silva , A. A. Caparica , R. Dickman

We present a simple and efficient approximation scheme which greatly facilitates extension of Wang-Landau sampling (or similar techniques) in large systems for the estimation of critical behavior. The method, presented in an algorithmic…

统计力学 · 物理学 2007-05-23 A. Malakis , A. Peratzakis , N. G. Fytas

Evaporation/condensation transition of the Potts model on square lattice is numerically investigated by the Wang-Landau sampling method. Intrinsically system size dependent discrete transition between supersaturation state and…

统计力学 · 物理学 2011-12-13 Tomoaki Nogawa , Nobuyasu Ito , Hiroshi Watanabe

Evaluation of global thermodynamic properties, such as the entropy or the free energy, of complex systems featuring a high degree of frustration or disorder is often desirable. Nevertheless, they cannot be measured directly in standard…

统计力学 · 物理学 2020-07-08 Marek Semjan , Milan Žukovič

The three-dimensional bimodal random-field Ising model is studied via a new finite temperature numerical approach. The methods of Wang-Landau sampling and broad histogram are implemented in a unified algorithm by using the N-fold version of…

统计力学 · 物理学 2008-02-01 Nikolaos G. Fytas , Anastasios Malakis
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