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20172026
most citedStatistical Mechanics of Systems with Negative Temperature

60 citations · 400 across the 30 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cond-mat.stat-mech2019

Effective Equations in complex systems: from Langevin to machine learning

Angelo Vulpiani, Marco Baldovin

The problem of effective equations is reviewed and discussed. Starting from the classical Langevin equation, we show how it can be generalized to Hamiltonian systems with non-stand…

cond-mat.stat-mech2019★ 5 cited

Effective equations for reaction coordinates in polymer transport

Marco Baldovin, Fabio Cecconi, Angelo Vulpiani

In the framework of the problem of finding proper reaction coordinates (RCs) for complex systems and their effective evolution equations, we consider the case study of a polymer ch…

cond-mat.stat-mech2019★ 9 cited

Irreversibility and typicality: A simple analytical result for the Ehrenfest model

Marco Baldovin, Lorenzo Caprini, Angelo Vulpiani

With the aid of simple analytical computations for the Ehrenfest model, we clarify some basic features of macroscopic irreversibility. The stochastic character of the model allows…

cond-mat.stat-mech2019★ 24 cited

Statistical mechanics of systems with long-range interactions and negative absolute temperature

Fabio Miceli, Marco Baldovin, Angelo Vulpiani

A Hamiltonian model living in a bounded phase space and with long-range interactions is studied. It is shown, by analytical computations, that there exists an energy interval in wh…

cond-mat.stat-mech2019★ 9 cited

Derivation of a Langevin equation in a system with multiple scales: the case of negative temperatures

Marco Baldovin, Angelo Vulpiani, Andrea Puglisi +1

We consider the problem of building a continuous stochastic model, i.e. a Langevin or Fokker-Planck equation, through a well-controlled coarse-graining procedure. Such a method usu…

cond-mat.stat-mech2019★ 23 cited

Langevin equations from experimental data: the case of rotational diffusion in granular media

Marco Baldovin, Andrea Puglisi, Angelo Vulpiani

A model has two main aims: predicting the behavior of a physical system and understanding its nature, that is how it works, at some desired level of abstraction. A promising recent…