Identification and quantification of irreversibility in stochastic systems

Aishani Ghosal; Gili Bisker

doi:10.1039/d5cp04712a

journal article Open Access Jan 01, 2026

Identification and quantification of irreversibility in stochastic systems

Aishani Ghosal

Gili Bisker

Physical Chemistry Chemical Physics · Royal Society of Chemistry (RSC)

View at Publisher Save 10.1039/d5cp04712a

Abstract

This review summarizes methods for estimating entropy production rates from observed trajectories and coarse-grained time series.

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Published: Jan 01, 2026
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Authors

A

Aishani Ghosal

School of Chemical Sciences, National Institute of Science Education and Research, Khurdha, Jatni Rd, Bhubaneswar 752050, India; Department of Physics, Washington University in St. Louis, 1 Brookings Drive, St. Louis, MO, USA

G

Gili Bisker

School of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv 69978, Israel; Center for Physics and Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, Israel; Center for Nanoscience and Nanotechnology, Tel Aviv University, Tel Aviv 6997801, Israel; Center for Light-Matter Interaction, Tel Aviv University, Tel Aviv 6997801, Israel; Center for Computational Molecular and Materials Science, Tel Aviv University, Tel Aviv 6997801, Israel

Funding

H2020 European Research Council Award: 101039127

Army Research Office Award: W911NF-21-1-0101

Air Force Office of Scientific Research Award: FA9550-20-1-0426

Israel Science Foundation Award: 196/22

Zimin Institute for Engineering Solutions Advancing Better Lives, Tel Aviv University

Cite This Article

Aishani Ghosal, Gili Bisker (2026). Identification and quantification of irreversibility in stochastic systems. Physical Chemistry Chemical Physics. https://doi.org/10.1039/d5cp04712a

Identification and quantification of irreversibility in stochastic systems

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