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20032026
most citedFinding statistically significant communities in networks

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cond-mat.stat-mech2026

Quo vadis, stochastic thermodynamics?

Jan Korbel, Artemy Kolchinsky, Sarah A. M. Loos +4

Stochastic thermodynamics is a framework for describing non-equilibrium processes at the level of fluctuating trajectories, where the state of a system evolves as a stochastic time…

cond-mat.stat-mech2026

Stochastic dynamics from maximum entropy in action space

Fabricio de Souza Luiz, José Carlos Bellizotti Souza, Luísa Toledo Tude +1

We develop an information-theoretic formulation of stochastic dynamics in which the fundamental stochastic variable is the total action connecting spacetime points, rather than ind…

cond-mat.stat-mech2025

Impact of fluctuations on particle systems described by Dean-Kawasaki-type equations

Nathan O. Silvano, Emilio Hernández-García, Cristóbal López

We study the role of fluctuations in particle systems modeled by Dean-Kawasaki-type equations, which describe the evolution of particle densities in systems with Brownian motion. B…

cond-mat.stat-mech2025

Numerical methods for quasi-stationary distributions

Sara Oliver-Bonafoux, Javier Aguilar, Tobias Galla +1

In stochastic processes with absorbing states, the quasi-stationary distribution provides valuable insights into the long-term behaviour prior to absorption. In this work, we revis…

cond-mat.stat-mech2025★ 1 cited

Thermodynamic inference in molecular motors: a Martingale approach

Adrián Nadal-Rosa, Gonzalo Manzano

Molecular motors are in charge of almost every process in the life cycle of cells, such as protein synthesis, DNA replication, and cell locomotion, hence being of crucial importanc…

cond-mat.stat-mech2025

Higher-order contagion processes in 3.99 dimensions

Sandro Meloni, Andrea Gabrielli, Pablo Villegas

Higher-order interactions have recently emerged as a promising framework for describing new dynamical phenomena in heterogeneous contagion processes. However, a fundamental open qu…