activity
20222026
most citedInference in non-equilibrium systems from incomplete information: the case of linear systems and its pitfalls

35 citations · 76 across the 15 of their papers we have counts for

collaborators

16 papers

cond-mat.stat-mech2026

Khinchin's ergodicity and typicality in statistical mechanics

Dario Lucente, Marco Baldovin, Giacomo Gradenigo +1

The formulation of statistical mechanics in terms of ensembles, originally proposed by Gibbs, has proved to be extremely effective in describing the equilibrium state of many-parti…

cond-mat.stat-mech2026

Ideal Bose-Einstein condensation in the canonical ensemble: exact asymptotic estimates from large deviations

Giacomo Gradenigo, Dario Lucente, Luca Salasnich

In this work we present a large-deviations approach to the calculation of the canonical partition function for free bosons. Three-dimensional Bose-Einstein condensation is studied…

cond-mat.stat-mech2026

Thermalization in high-dimensional systems: the (weak) role of chaos

Marco Baldovin, Marco Cattaneo, Dario Lucente +2

In their seminal work, Fermi, Pasta, Ulam and Tsingou explored the connection between statistical mechanics and dynamical properties, such as chaos and ergodicity. Even today, seve…

q-bio.NC2025

Novel Kuramoto model with inhibition dynamics modeling scale-free avalanches and synchronization in neuronal cultures

Dario Lucente, Letizia Cerutti, Martina Brofiga +5

Neuronal cultures exhibit a complex activity, bursts, or avalanches, characterized by the coexistence of scale invariance and synchronization, quite stable with the percentage of i…

cond-mat.dis-nn2025★ 1 cited

Entropy production and irreversibility in the linearized stochastic Amari neural model

Dario Lucente, Giacomo Gradenigo, Luca Salasnich

One among the most intriguing results coming from the application of statistical mechanics to the study of brain is the understanding that it, as a dynamical system, is inherently…

cond-mat.stat-mech2025

Thermal equilibrium with generalized time-reversal symmetry

Dario Lucente, Marco Baldovin, Massimiliano Viale +1

In the study of stochastic processes, identifying the parity under time-reversal is essential to verify detailed balance, and to compute the entropy production rate (which is, othe…

cond-mat.stat-mech2025

Optimal Control of an Electromechanical Energy Harvester

Dario Lucente, Alessandro Manacorda, Andrea Plati +2

Many techniques originally developed in the context of deterministic control theory have been recently applied to the quest for optimal protocols in stochastic processes. Given a s…

cond-mat.stat-mech2024

Detecting time-irreversibility in multiscale systems: correlation and response functions in the Lorenz96 model

Niccolò Cocciaglia, Dario Lucente

Due to their relevance to geophysical systems, the investigation of multiscale systems through the lens of statistical mechanics has gained popularity in recent years. The aim of o…

cond-mat.stat-mech2024★ 11 cited

Conceptual and practical approaches for investigating irreversible processes

Dario Lucente, Marco Baldovin, Fabio Cecconi +5

Current research in statistical mechanics mostly concerns the investigation of out-of-equilibrium, irreversible processes, which are ubiquitous in nature and still far from being t…

cond-mat.soft2024

Response of Worm-like Chains to Traveling-Wave Active Forces

Fabio Cecconi, Dario Lucente, Andrea Puglisi +1

We present a simplified theory for semiflexible flagella under the action of a traveling-wave perturbation that emulates the organized active forces generated by molecular motors,…

cond-mat.stat-mech2024★ 1 cited

Thermalization is typical in large classical and quantum harmonic systems

Marco Cattaneo, Marco Baldovin, Dario Lucente +2

We establish an analytical criterion for dynamical thermalization within harmonic systems, applicable to both classical and quantum models. Specifically, we prove that thermalizati…

cond-mat.stat-mech2023★ 3 cited

H-theorem at negative temperature: the random exchange model with bounds

Dario Lucente, Marco Baldovin, Andrea Puglisi +1

Random exchange kinetic models are widely employed to describe the conservative dynamics of large interacting systems. Due to their simplicity and generality, they are quite popula…

cond-mat.stat-mech2023★ 2 cited

A Markovian approach to the Prandtl-Tomlinson frictional model

Dario Lucente, Alberto Petri, Angelo Vulpiani

We consider the Prandtl-Tomlinson model in the case of a constant driving force and in the presence of thermal fluctuations. We show that the system dynamics is well reproduced by…

cond-mat.stat-mech2023★ 8 cited

Statistical features of systems driven by non-Gaussian processes: theory & practice

Dario Lucente, Andrea Puglisi, Massimiliano Viale +1

Nowadays many tools, e.g. fluctuation relations, are available to characterize the statistical properties of non-equilibrium systems. However, most of these tools rely on the assum…

cond-mat.stat-mech2023★ 15 cited

Revealing the Nonequilibrium Nature of a Granular Intruder: The Crucial Role of Non-Gaussian Behavior

Dario Lucente, Massimiliano Viale, Andrea Gnoli +2

The characterization of the distance from equilibrium is a debated problem in particular in the treatment of experimental signals. If the signal is a 1-dimensional time-series, suc…

cond-mat.stat-mech2022★ 35 cited

Inference in non-equilibrium systems from incomplete information: the case of linear systems and its pitfalls

Dario Lucente, Andrea Baldassarri, Andrea Puglisi +2

Data from experiments and theoretical arguments are the two pillars sustaining the job of modelling physical systems through inference. In order to solve the inference problem, the…