activity
20182025
most citedKinetic uncertainty relation

132 citations · 251 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.stat-mech2025★ 2 cited

Force-free kinetic inference of entropy production

Ivan Di Terlizzi

Estimating entropy production, which quantifies irreversibility and energy dissipation, remains a significant challenge despite its central role in nonequilibrium physics. We propo…

cond-mat.stat-mech2024★ 10 cited

Variance sum rule: proofs and solvable models

Ivan Di Terlizzi, Marco Baiesi, Felix Ritort

We derive, in more general conditions, a recently introduced variance sum rule (VSR) [I. Di Terlizzi et al., 2024 Science 383 971] involving variances of displacement and force imp…

cond-mat.stat-mech2023

Unraveling active baths through their hidden degrees of freedom

Daniel Maria Busiello, Matteo Ciarchi, Ivan Di Terlizzi

The dynamics of a probe particle is highly influenced by the nature of the bath in which it is immersed. In particular, baths composed by active (e.g., self-propelled) particles in…

physics.bio-ph2023★ 70 cited

Variance Sum Rule for Entropy Production

I. Di Terlizzi, M. Gironella, D. Herraez-Aguilar +4

Entropy production is the hallmark of nonequilibrium physics, quantifying irreversibility, dissipation, and the efficiency of energy transduction processes. Despite many efforts, i…

cond-mat.stat-mech2020★ 17 cited

A thermodynamic uncertainty relation for a system with memory

Ivan Di Terlizzi, Marco Baiesi

We introduce an example of thermodynamic uncertainty relation (TUR) for systems modeled by a one-dimensional generalised Langevin dynamics with memory, determining the motion of a…

cond-mat.stat-mech2020★ 20 cited

Explicit solution of the generalised Langevin equation

Ivan Di Terlizzi, Felix Ritort, Marco Baiesi

Generating an initial condition for a Langevin equation with memory is a non trivial issue. We introduce a generalisation of the Laplace transform as a useful tool for solving this…

cond-mat.stat-mech2018★ 132 cited

Kinetic uncertainty relation

Ivan Di Terlizzi, Marco Baiesi

Relative fluctuations of observables in discrete stochastic systems are bounded at all times by the mean dynamical activity in the system, quantified by the mean number of jumps. T…