ArticleNature communications2019
Inferring broken detailed balance in the absence of observable currents.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Stochastic thermodynamics of social imitation beyond energetics.Nature communications · 2026Article
- Identification and quantification of irreversibility in stochastic systems.Physical chemistry chemical physics : PCCP · 2026Review
- Mapping Local Dissipation and Entropy Production in Complex and Active Fluids.The journal of physical chemistry letters · 2025Article
- Evidence and quantification of memory effects in competitive first-passage events.Science advances · 2025Article
- Stochastic thermodynamics for biological functions.Quantitative biology (Beijing, China) · 2025Review
- Description of chemical systems by means of response functions.Journal of mathematical biology · 2025Article
- Algorithmic Approaches for Assessing Multiscale Irreversibility in Time Series: Review and Comparison.Entropy (Basel, Switzerland) · 2025Review
- A local-global principle for nonequilibrium steady states.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Reply to: Comment on "Inferring broken detailed balance in the absence of observable currents".Nature communications · 2024Article
- Comment on "Inferring broken detailed balance in the absence of observable currents".Nature communications · 2024Article
- Accessing activity and viscoelastic properties of artificial and living systems from passive measurement.Nature materials · 2024Article
- General theory for localizing the where and when of entropy production meets single-molecule experiments.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Milestoning estimators of dissipation in systems observed at a coarse resolution.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Inferring entropy production rate from partially observed Langevin dynamics under coarse-graining.Physical chemistry chemical physics : PCCP · 2022Article
- Eukaryotic gene regulation at equilibrium, or non?Current opinion in systems biology · 2022Article
- Emergence of local irreversibility in complex interacting systems.Physical review. E · 2022Article
- Broken detailed balance and entropy production in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Algorithmic Approaches for Assessing Irreversibility in Time Series: Review and Comparison.Entropy (Basel, Switzerland) · 2021Article
- Information Geometry, Fluctuations, Non-Equilibrium Thermodynamics, and Geodesics in Complex Systems.Entropy (Basel, Switzerland) · 2021Review
- Improved bounds on entropy production in living systems.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying dissipation is essential for understanding the physical mechanisms underlying nonequilibrium processes. In living systems, for example, the dissipation is directly related to the hydrolysis of fuel molecules such as adenosine triphosphate (ATP). Nevertheless, detecting broken time-reversal symmetry, which is the hallmark of dissipative processes, remains a challenge in the absence of observable directed motion, flows, or fluxes. Furthermore, quantifying the entropy production in a complex system requires detailed information about its dynamics and internal degrees of freedom. Here we introduce a novel approach to detect time irreversibility and estimate the entropy production from time-series measurements, even in the absence of observable currents. We apply our technique to two different physical systems, namely, a partially hidden network and a molecular motor. Our method does not require complete information about the system dynamics and thus provides a new tool for studying nonequilibrium phenomena.
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