This has been the third workshop around Statistical Mechanics organized in the last 6 years. The main topic consisted of spatial random processes and their connections to statistical mechanics. The common underlying theme of the subjects discussed at the meeting is the existence of a scaling limit, i.e., a continuum object that approximates the discrete one under study at sufficiently large spatial scales. The specific topics that have been discussed included two-dimensional and high-dimensional critical models, random graphs and various random geometric problems, such as random interlacements, polymers, etc. The workshop bolstered interactions between groups of researchers in these areas and led to interesting and fruitful exchanges of ide...
The scientific challenges of the 21st century will increasingly involve competing interactions, geom...
Providing a graduate level introduction to various aspects of stochastic geometry, spatial statistic...
Over the last few years a wide array of random graph models have been postulated to understand prope...
This has been the third workshop around Statistical Mechanics organized in the last 6 years. The mai...
The project concerns various aspects of random spatial processes, called “percolative systems”, in w...
Great progress in the understanding of conformally invariant scaling limits of stochastic models, ha...
The spectacular success of probability theory within the hard sciences is well known since its pivot...
In this review paper we consider the polynuclear growth (PNG) model in one spatial dimension and its...
This book offers a unified perspective on the study of complex systems for scholars of various disci...
This introduction to some of the principal models in the theory of disordered systems leads the read...
In recent years, statistical mechanics has been increasingly recognized as a central domain of mathe...
Scaling has been a fascinating research area in statistical physics for decades since the pioneering...
This thesis deals with some aspects of the physics of disordered systems. It consists of four papers...
Focusing on the mathematics that lies at the intersection of probability theory, statistical physics...
We investigate the scaling limit of the range (the set of visited vertices) for a general class of c...
The scientific challenges of the 21st century will increasingly involve competing interactions, geom...
Providing a graduate level introduction to various aspects of stochastic geometry, spatial statistic...
Over the last few years a wide array of random graph models have been postulated to understand prope...
This has been the third workshop around Statistical Mechanics organized in the last 6 years. The mai...
The project concerns various aspects of random spatial processes, called “percolative systems”, in w...
Great progress in the understanding of conformally invariant scaling limits of stochastic models, ha...
The spectacular success of probability theory within the hard sciences is well known since its pivot...
In this review paper we consider the polynuclear growth (PNG) model in one spatial dimension and its...
This book offers a unified perspective on the study of complex systems for scholars of various disci...
This introduction to some of the principal models in the theory of disordered systems leads the read...
In recent years, statistical mechanics has been increasingly recognized as a central domain of mathe...
Scaling has been a fascinating research area in statistical physics for decades since the pioneering...
This thesis deals with some aspects of the physics of disordered systems. It consists of four papers...
Focusing on the mathematics that lies at the intersection of probability theory, statistical physics...
We investigate the scaling limit of the range (the set of visited vertices) for a general class of c...
The scientific challenges of the 21st century will increasingly involve competing interactions, geom...
Providing a graduate level introduction to various aspects of stochastic geometry, spatial statistic...
Over the last few years a wide array of random graph models have been postulated to understand prope...