Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Journal of Magnetism and Magnetic Materials

The tricritical point of the site-diluted three-dimensional 5-state Potts model

Albert Babaevich Babaev, Akai Kurbanovich Murtazaev

Published Aug 28, 2022• 10 citations
Publisher
DOI
10.1016/j.jmmm.2022.169864

Related papers

Phase Transitions in a Three-Dimensional Site-Diluted 5-State Potts Model

Akai Kurbanovich Murtazaev, Albert Babaevich Babaev

Journal of Superconductivity and Novel Magnetism•May 18, 2022•0 citations

Phase transitions and critical phenomena in a three-dimensional site-diluted Potts model

Akai Kurbanovich Murtazaev, Albert Babaevich Babaev

Journal of Magnetism and Magnetic Materials•Jul 3, 2012•24 citations

Quenched dilution tricritical point in the q=3, d=4 Potts model

William G. Wilson

Physics Letters A•May 1, 1989•12 citations

Tricritical behavior of the three-state triangular Potts model

H. Meyer, J C Anglès d'Auriac, J.-M. Maillard +2 more

Physics Letters A•May 1, 1995•6 citations

Short-time dynamics and critical behavior of three-dimensional bond-diluted Potts model

Jianwei Yin, Bo Zheng, Vladimir V. Prudnikov +1 more

The European Physical Journal B•Jan 1, 2006•28 citations

Dilute Potts model in two dimensions

Xiaofeng Qian, Youjin Deng, Henk W. J. Blöte

We study the two-dimensional dilute q-state Potts model by means of transfer-matrix and Monte Carlo methods. Using the random-cluster representation, we include noninteger values of q. We locate phase transitions in the three-dimensional parameter space of q, the Potts coupling K>>0, and the chemical potential of the vacancies. The critical plane is found to contain a line of fixed points that divides into a critical branch and a tricritical one, just as predicted by the renormalization scenario formulated by Nienhuis et al for the dilute Potts model. The universal properties along the line of fixed points agree with the theoretical predictions. We also determine the density of the vacancies along these branches. For q=2-squareroot of 2 we obtain the phase diagram in a three-dimensional parameter space that also includes a coupling V> or = 0 between the vacancies. For q=2, the latter space contains the Blume-Capel model as a special case. We include a determination of the tricritical point of this model, as well as an analysis of percolation clusters constructed on tricritical Potts configurations for noninteger q. This percolation study is based on Monte Carlo algorithms that include local updates flipping between Potts sites and vacancies. The bond updates are performed locally for and by means of a cluster algorithm for q>1. The updates for q>1 use a number of operations per site independent of the system size.

Physical Review E•Nov 29, 2005•46 citations
We study the two-dimensional dilute q-state Potts model by means of transfer-matrix and Monte Carlo methods. Using the random-cluster representation, we include noninteger values of q. We locate phase transitions in the three-dimensional parameter space of q, the Potts coupling K>>0, and the chemical potential of the vacancies. The critical plane is found to contain a line of fixed points that divides into a critical branch and a tricritical one, just as predicted by the renormalization scenario formulated by Nienhuis et al for the dilute Potts model. The universal properties along the line of fixed points agree with the theoretical predictions. We also determine the density of the vacancies along these branches. For q=2-squareroot of 2 we obtain the phase diagram in a three-dimensional parameter space that also includes a coupling V> or = 0 between the vacancies. For q=2, the latter space contains the Blume-Capel model as a special case. We include a determination of the tricritical point of this model, as well as an analysis of percolation clusters constructed on tricritical Potts configurations for noninteger q. This percolation study is based on Monte Carlo algorithms that include local updates flipping between Potts sites and vacancies. The bond updates are performed locally for and by means of a cluster algorithm for q>1. The updates for q>1 use a number of operations per site independent of the system size.