output
19972026
most citedEfficient Behavior of Small-World Networks

5.1k citations

Showing 2022 · cond-mat.stat-mechShow all

23 papers · 2 filters

cond-mat.stat-mech2022★ 22 cited

Control of Active Brownian Particles: An exact solution

Marco Baldovin, David Guéry-Odelin, Emmanuel Trizac

Control of stochastic systems is a challenging open problem in statistical physics, with potential applications in a wealth of systems from biology to granulates. Unlike most cases…

cond-mat.stat-mech2022

New duality relation for the Discrete Gaussian SOS model on a torus

F. Cornu, H. J. Hilhorst, M. Bauer

We construct a new duality for two-dimensional Discrete Gaussian models. It is based on a known one-dimensional duality and on a mapping, implied by the Chinese remainder theorem,…

cond-mat.stat-mech2022★ 9 cited

An exact formula for the variance of linear statistics in the one-dimensional jellium mode

Ana Flack, Satya N. Majumdar, Gregory Schehr

We consider the jellium model of particles on a line confined in an external harmonic potential and with a pairwise one-dimensional Coulomb repulsion of strength . Using…

cond-mat.stat-mech2022★ 64 cited

Extreme statistics and spacing distribution in a Brownian gas correlated by resetting

Marco Biroli, Hernan Larralde, Satya N. Majumdar +1

We study a one-dimensional gas of Brownian particles that diffuse independently, but are {\it simultaneously} reset to the origin at a constant rate . The system approaches…

cond-mat.stat-mech2022★ 12 cited

Universality in the tripartite information after global quenches

Vanja Marić, Maurizio Fagotti

We consider macroscopically large 3-partitions of connected subsystems in infinite quantum spin chains and study the Rényi- tripartite information $I_…

cond-mat.stat-mech2022★ 3 cited

Clusters in the critical branching Brownian motion

Benoît Ferté, Pierre Le Doussal, Alberto Rosso +1

Brownian particles that are replicated and annihilated at equal rate have strongly correlated positions, forming a few compact clusters separated by large gaps. We characterize the…