ArticleNature communications2019
Quantifying dissipation using fluctuating 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 25 papers.
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Who cites it
25 citing papers in PubMed.
- Koopman mode decomposition of thermodynamic dissipation in nonlinear Langevin dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Energetic gradients emerge in developing motor-microtubule structures.bioRxiv : the preprint server for biology · 2026Article
- Identification and quantification of irreversibility in stochastic systems.Physical chemistry chemical physics : PCCP · 2026Review
- Stochastic motility energetics reveals cooperative bacterial swarming in optical tweezers.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Neurovascular Signaling at the Gliovascular Interface: From Flow Regulation to Cognitive Energy Coupling.International journal of molecular sciences · 2025Review
- Mapping Local Dissipation and Entropy Production in Complex and Active Fluids.The journal of physical chemistry letters · 2025Article
- Description of chemical systems by means of response functions.Journal of mathematical biology · 2025Article
- A local-global principle for nonequilibrium steady states.Proceedings of the National Academy of Sciences of the United States of America · 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
- Deep learning probability flows and entropy production rates in active matter.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
- Unifying speed limit, thermodynamic uncertainty relation and Heisenberg principle via bulk-boundary correspondence.Nature communications · 2023Article
- Dissipation and energy propagation across scales in an active cytoskeletal material.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Inferring entropy production rate from partially observed Langevin dynamics under coarse-graining.Physical chemistry chemical physics : PCCP · 2022Article
- Decomposing the Local Arrow of Time in Interacting Systems.Physical review letters · 2022Article
- Emergence of local irreversibility in complex interacting systems.Physical review. E · 2022Article
- Field-Induced Assembly and Propulsion of Colloids.Langmuir : the ACS journal of surfaces and colloids · 2022Article
- Physical bioenergetics: Energy fluxes, budgets, and constraints in cells.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Improved bounds on entropy production in living systems.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systems coupled to multiple thermodynamic reservoirs can exhibit nonequilibrium dynamics, breaking detailed balance to generate currents. To power these currents, the entropy of the reservoirs increases. The rate of entropy production, or dissipation, is a measure of the statistical irreversibility of the nonequilibrium process. By measuring this irreversibility in several biological systems, recent experiments have detected that particular systems are not in equilibrium. Here we discuss three strategies to replace binary classification (equilibrium versus nonequilibrium) with a quantification of the entropy production rate. To illustrate, we generate time-series data for the evolution of an analytically tractable bead-spring model. Probability currents can be inferred and utilized to indirectly quantify the entropy production rate, but this approach requires prohibitive amounts of data in high-dimensional systems. This curse of dimensionality can be partially mitigated by using the thermodynamic uncertainty relation to bound the entropy production rate using statistical fluctuations in the probability currents.
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