Inspired by recent developments in the study of chaos in many-body systems, we construct a
measure of local information spreading for a stochastic cellular automaton in the form of a …

We propose locally stable sparse hard-disk packings, as introduced by Böröczky, as a
model for the analysis and benchmarking of Markov-chain Monte Carlo (MCMC) algorithms …

This thesis deals with the development and application in statistical physics of a general
framework for irreversible and rejection-free Markov-chain Monte Carlo methods, through …

We study the connection between damage spreading, a phenomenon long discussed in the
physics literature, and the coupling of Markov chains, a technique used to bound the mixing …

This thesis deals with the Monte Carlo method and some of its applications to statistical
physics. The first part concerns the study of the melting transition in two dimensions. The …

We investigate the damage spreading effect in the Fortuin-Kasteleyn random cluster model
for 2-and 3-dimensional grids with periodic boundary. For 2D the damage function has a …

The overarching objective of this doctoral thesis is the development of a rigorous paradigm
for molecular simulation based on non-reversible Markov-chain Monte Carlo (MCMC) …

The Fortuin-Kasteleyn and heat-bath damage-spreading temperatures T FK (p) and T DS (p)
are studied on random-bond Ising models of dimensions 2–5 and as functions of the …

We studied damage spreading in a Driven Lattice Gas (DLG) model as a function of the
temperature T, the magnitude of the external driving field E, and the lattice size. The DLG …

Phase transitions and damage spreading for a lattice gas model with mixed driven lattice
gas (DLG)–Glauber dynamics are studied by means of Monte Carlo simulations. In order to …