activity
19972025
most citedDirect evaluation of large-deviation functions

330 citations · 1.8k across the 67 of their papers we have counts for

collaborators

72 papers

math.PR2025

Annealed Potts models on rank-1 inhomogeneous random graphs

Cristian Giardinà, Claudio Giberti, Remco van der Hofstad +2

In this paper, we study the annealed ferromagnetic -state Potts model on sparse rank-1 random graphs, where vertices are equipped with a vertex weight, and the probability of an…

math.PR2023★ 2 cited

Large deviations and additivity principle for the open harmonic process

Gioia Carinci, Chiara Franceschini, Rouven Frassek +2

We consider the boundary driven harmonic model, i.e. the Markov process associated to the open integrable XXX chain with non-compact spins. Using the factorial moments we character…

math.PR2023

Density fluctuations for the multi-species stirring process

Francesco Casini, Cristian Giardinà, Frank Redig

We study the density fluctuations at equilibrium of the multi-species stirring process, a natural multi-type generalization of the symmetric (partial) exclusion process. In the dif…

math.PR2023

Solvable stationary non equilibrium states

Gioia Carinci, Chiara Franceschini, Davide Gabrielli +2

We consider the one dimensional boundary driven harmonic model and its continuous version, both introduced in \cite{FGK}. By combining duality and integrability the authors of \cit…

cond-mat.stat-mech2022★ 10 cited

Integrable heat conduction model

Chiara Franceschini, Rouven Frassek, Cristian Giardinà

We consider a stochastic process of heat conduction where energy is redistributed along a chain between nearest neighbor sites via an improper beta distribution. Similar to the wel…

math-ph2022★ 10 cited

Uphill in reaction-diffusion multi-species interacting particles systems

Francesco Casini, Cristian Giardina, Cecilia Vernia

We study reaction-diffusion processes with multi-species of particles and hard-core interaction. We add boundary driving to the system by means of external reservoirs which inject…