Spin models and vertex models on graphs are defined as appropriate generalizations of the Ising-Potts model of statistical mechanics. We review some of these state models and the graph functions defined by them. If a graph X represents a knot or a link L in Image 3, we describe models M for which the value ZMX at X of the graph function defined by M depends only on L and not on X
AbstractIn this survey, we give a friendly introduction from a graph theory perspective to the q-sta...
We introduce and study a Markov field on the edges of a graph G in dimension d≥ 2 whose configuratio...
31 pages, 48 ref.International audienceThis is the first in a series of papers devoted to generalisa...
AbstractSpin models and vertex models on graphs are defined as appropriate generalizations of the Is...
Graphity models are characterized by configuration spaces in which states correspond to graphs and H...
We characterize which graph parameters are partition functions of a vertex model over an algebraica...
Spin systems such as the Ising model are central topics in statistical mechanics and probability the...
We consider several models whose motivation arises from statistical mechanics. We begin by investiga...
The study of thermodynamic properties of classical spin models on infinite graphs naturally leads to...
To highlight certain similarities in combinatorial representations of several well known two-dimensi...
This work is concerned with the theory of graphical representa-tion for the Ising and Potts models o...
We characterize which graph invariants are partition functions of a spin model over C, in terms of t...
In this paper we introduce, and characterize, a class of graph parameters obtained from tensor invar...
AbstractSpin models were introduced by V. Jones (Pac. J. Math.137(1989), 311–334) to construct invar...
The Ising model is one of the simplest mathematical settings in which it can be studied how, from a...
AbstractIn this survey, we give a friendly introduction from a graph theory perspective to the q-sta...
We introduce and study a Markov field on the edges of a graph G in dimension d≥ 2 whose configuratio...
31 pages, 48 ref.International audienceThis is the first in a series of papers devoted to generalisa...
AbstractSpin models and vertex models on graphs are defined as appropriate generalizations of the Is...
Graphity models are characterized by configuration spaces in which states correspond to graphs and H...
We characterize which graph parameters are partition functions of a vertex model over an algebraica...
Spin systems such as the Ising model are central topics in statistical mechanics and probability the...
We consider several models whose motivation arises from statistical mechanics. We begin by investiga...
The study of thermodynamic properties of classical spin models on infinite graphs naturally leads to...
To highlight certain similarities in combinatorial representations of several well known two-dimensi...
This work is concerned with the theory of graphical representa-tion for the Ising and Potts models o...
We characterize which graph invariants are partition functions of a spin model over C, in terms of t...
In this paper we introduce, and characterize, a class of graph parameters obtained from tensor invar...
AbstractSpin models were introduced by V. Jones (Pac. J. Math.137(1989), 311–334) to construct invar...
The Ising model is one of the simplest mathematical settings in which it can be studied how, from a...
AbstractIn this survey, we give a friendly introduction from a graph theory perspective to the q-sta...
We introduce and study a Markov field on the edges of a graph G in dimension d≥ 2 whose configuratio...
31 pages, 48 ref.International audienceThis is the first in a series of papers devoted to generalisa...