Due to Fortuin and Kastelyin the q state Potts model has a representation as a sum over random graphs, generalizing the Potts model to arbitrary q is based on this representation. A key element of the random cluster representation is the combinatorial factor ΓG(C, E), which is the number of ways to form C distinct clusters, consisting of totally E edges. We have devised a method to calculate ΓG(C, E) from Monte Carlo simulations
A cluster algorithm is presented for the simulation of the q-state Potts models in which the number ...
Statistical physics seeks to explain macroscopic properties of matter in terms of microscopic intera...
AbstractThe random-cluster model, a correlated bond percolation model, unifies a range of important ...
Due to Fortuin and Kastelyin the q state Potts model has a representation as a sum over random graph...
AbstractIn this survey, we give a friendly introduction from a graph theory perspective to the q-sta...
We report on single-cluster Monte Carlo simulations of the Ising, 4-state Potts and 10-state Potts m...
In the Ising and Potts model, random cluster representations provide a geometric interpretation to s...
We consider the problem of sampling from the Potts model on random regular graphs. It is conjectured...
Abstract. We show that the q-state bond-correlated percolation model ( Q H C P M) , which is the pe...
This paper examines a mathematical modeling tool for complex systems with nearest neighbor interacti...
Statistical physics seeks to explain macroscopic properties of matter in terms of microscopic intera...
The random-cluster model of Fortuin and Kasteleyn contains as special cases the percolation, Ising, ...
We consider the ferromagnetic q-state Potts model, with each of the q spin values coupled to an exte...
International audiencePotts spin systems play a fundamental role in statistical mechanics and quantu...
We consider the problem of sampling from the Potts model on random regular graphs. It is conjectured...
A cluster algorithm is presented for the simulation of the q-state Potts models in which the number ...
Statistical physics seeks to explain macroscopic properties of matter in terms of microscopic intera...
AbstractThe random-cluster model, a correlated bond percolation model, unifies a range of important ...
Due to Fortuin and Kastelyin the q state Potts model has a representation as a sum over random graph...
AbstractIn this survey, we give a friendly introduction from a graph theory perspective to the q-sta...
We report on single-cluster Monte Carlo simulations of the Ising, 4-state Potts and 10-state Potts m...
In the Ising and Potts model, random cluster representations provide a geometric interpretation to s...
We consider the problem of sampling from the Potts model on random regular graphs. It is conjectured...
Abstract. We show that the q-state bond-correlated percolation model ( Q H C P M) , which is the pe...
This paper examines a mathematical modeling tool for complex systems with nearest neighbor interacti...
Statistical physics seeks to explain macroscopic properties of matter in terms of microscopic intera...
The random-cluster model of Fortuin and Kasteleyn contains as special cases the percolation, Ising, ...
We consider the ferromagnetic q-state Potts model, with each of the q spin values coupled to an exte...
International audiencePotts spin systems play a fundamental role in statistical mechanics and quantu...
We consider the problem of sampling from the Potts model on random regular graphs. It is conjectured...
A cluster algorithm is presented for the simulation of the q-state Potts models in which the number ...
Statistical physics seeks to explain macroscopic properties of matter in terms of microscopic intera...
AbstractThe random-cluster model, a correlated bond percolation model, unifies a range of important ...