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Related papers: Phase Transition Properties of 3D Potts Models

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We study $q=10$ and $q=200$ state Potts models on dynamical triangulated lattices and demonstrate that these models exhibit continuous phase transitions, contrary to the first order transition present on regular lattices. For $q=10$ the…

High Energy Physics - Lattice · Physics 2016-08-31 Jan Ambjorn , Gudmar Thorleifsson , Mark Wexler

We investigate the critical behavior of the one-dimensional q-state Potts model with long-range (LR) interaction $1/r^{d+\sigma}$, using a multicanonical algorithm. The recursion scheme initially proposed by Berg is improved so as to make…

Statistical Mechanics · Physics 2007-05-23 Sylvain Reynal , Hung-The Diep

The q=10 and q=200 state Potts models coupled to 2d gravity are investigated numerically and shown to have continuous phase transitions, contrary to their behavior on a regular lattice. Critical exponents are extracted and possible critical…

High Energy Physics - Lattice · Physics 2009-10-28 Gudmar Thorleifsson

The Potts model with invisible states was introduced to explain discrepancies between theoretical predictions and experimental observations of phase transitions in some systems where $Z_q$ symmetry is spontaneously broken. It differs from…

Statistical Mechanics · Physics 2023-05-24 Mariana Krasnytska , Petro Sarkanych , Bertrand Berche , Yurij Holovatch , Ralph Kenna

The dynamics of 2d Potts models, which are temperature driven through the phase transition using updating procedures in the Glauber universality class, is investigated. We present calculations of the hysteresis for the (internal) energy and…

High Energy Physics - Lattice · Physics 2009-11-07 Alexander Velytsky , Bernd A. Berg , Urs M. Heller

The three-state Potts model is numerically investigated on three-dimensional simple cubic lattices of up to \(128^3\) volume, concentrating on the neighborhood of the first-order phase transition separating the ordered and disordered…

High Energy Physics - Lattice · Physics 2007-05-23 Shigemi Ohta

We have calculated the large-$q$ series of the energy cumulants, the magnetization cumulants and the correlation length at the first order phase transition point both in the ordered and disordered phases for the $q$-state Potts model in two…

High Energy Physics - Lattice · Physics 2017-08-23 H. Arisue , K. Tabata

The two-dimensional $Q$-state Potts model with real couplings has a first-order transition for $Q>4$. We study a loop-model realization in which $Q$ is a continuous parameter. This model allows for the collision of a critical and a…

High Energy Physics - Theory · Physics 2024-09-20 Jesper Lykke Jacobsen , Kay Joerg Wiese

We have calculated the large-$q$ expansion for the specific heat at the phase transition point in the two-dimensional $q$-state Potts model to the 23rd order in $1/\sqrt{q}$ using the finite lattice method. The obtained series allows us to…

High Energy Physics - Lattice · Physics 2009-10-31 H. Arisue , K. Tabata

Microcanonical statistics can be well applied to non-extensive systems like nuclei, atomic clusters and systems at phase transitions of first order with inhomogeneous configurations like phase separation. No thermodynamic limit has to be…

Condensed Matter · Physics 2007-05-23 D. H. E. Gross

The Potts model is one of the most popular spin models of statistical physics. The prevailing majority of work done so far corresponds to the lattice version of the model. However, many natural or man-made systems are much better described…

Statistical Mechanics · Physics 2013-07-16 M. Krasnytska , B. Berche , Yu. Holovatch

For the first order transition of the Ising model below $T_c$, Isakov has proven that the free energy possesses an essential singularity in the applied field. Such a singularity in the control parameter, anticipated by condensation theory,…

Statistical Mechanics · Physics 2011-10-11 J. L. Meunier , A. Morel

We derive a universal relation for the critical temperatures of the $q$-state Potts model based on the counting of domain-wall microstates. By balancing interface energy against configurational entropy, we show that the critical temperature…

Statistical Mechanics · Physics 2026-04-14 David Vaknin

We study the interfacial adsorption phenomena of the three-state ferromagnetic Potts model on the simple cubic lattice by the Monte Carlo method. Finite-size scaling analyses of the net-adsorption yield the evidence of the phase transition…

Condensed Matter · Physics 2009-10-22 Atsushi Yamagata

A Monte Carlo algorithm is proposed to simulate ferromagnetic q-state Potts model for any real q>0. A single update is a random sequence of disordering and deterministic moves, one for each link of the lattice. A disordering move attributes…

Statistical Mechanics · Physics 2008-12-18 Ferdinando Gliozzi

We investigate the 2- and 3-state ferromagnetic Potts models on the simple cubic lattice using the tensor renormalization group method with higher-order singular value decomposition (HOTRG). HOTRG works in the thermodynamic limit, where we…

Statistical Mechanics · Physics 2014-09-16 S. Wang , Z. Y. Xie , J. Chen , B. Normand , T. Xiang

We study the non-equilibrium steady states that emerge when two interacting three-dimensional Potts blocks slide on each other. As at equilibrium the Potts model exhibits different types of phase transitions for different numbers $q$ of…

Statistical Mechanics · Physics 2016-04-22 Linjun Li , Michel Pleimling

We study using Monte Carlo simulations the finite-size scaling behavior of the interfacial adsorption of the two-dimensional square-lattice $q$-states Potts model. We consider the pure and random-bond versions of the Potts model for $q =…

Statistical Mechanics · Physics 2017-03-16 Nikolaos G. Fytas , Panagiotis E. Theodorakis , Anastasios Malakis

We study the effect of interfacial phenomena in two-dimensional perfect and random (or disordered) $q$-state Potts models with continuous phase transitions, using, mainly, Monte Carlo techniques. In particular, for the total interfacial…

Statistical Mechanics · Physics 2015-08-10 N. G. Fytas , A. Malakis , W. Selke , L. N. Shchur

We propose an iterative proposal to estimate critical points for statistical models based on configurations by combing machine-learning tools. Firstly, phase scenarios and preliminary boundaries of phases are obtained by…

Disordered Systems and Neural Networks · Physics 2019-10-23 X. L. Zhao , L. B. Fu
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