Identification and quantification of irreversibility in stochastic systems

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Authors: Aishani Ghosal, Gili Bisker
Cited by: 1
References: 217

Abstract

inherently irreversible, dissipative processes in noisy environments, while producing entropy. Quantifying this entropy production (EP) has therefore become central to understanding both the physical limits and design principles of nanoscale systems. This review surveys principled routes to characterize and quantify EP from time-series and trajectory data. Because experimental observables are often coarse-grained and only partially resolve the underlying dynamics, we discuss how dissipation can be inferred from incomplete information, and how coarse-graining systematically biases EP estimates. This overview maps the current toolkit for estimating EP and outlines open challenges in unifying inference approaches to obtain reliable and tight bounds on EP in living and engineered nanoscale systems.

Fields of Study & Subjects

Advanced Thermodynamics and Statistical Mechanics Micro and Nano Robotics stochastic dynamics and bifurcation

Publication details

Journal / source
Physical Chemistry Chemical Physics
Publisher
Royal Society of Chemistry (RSC)
Volume
28
Issue
16
Pages
9840–9866
Publication date
1 January 2026
Language
EN