Quantifying dissipation using fluctuating currents
| العنوان: | Quantifying dissipation using fluctuating currents |
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| المؤلفون: | Todd R. Gingrich, Jordan M. Horowitz, Nikta Fakhri, Junang Li |
| المصدر: | Nature Communications Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019) |
| بيانات النشر: | Springer Science and Business Media LLC, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | 0301 basic medicine, Science, FOS: Physical sciences, General Physics and Astronomy, Non-equilibrium thermodynamics, 02 engineering and technology, Statistical fluctuations, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Physics - Biological Physics, Statistical physics, lcsh:Science, Entropy (arrow of time), Condensed Matter - Statistical Mechanics, Physics, Multidisciplinary, Statistical Mechanics (cond-mat.stat-mech), Entropy production, Detailed balance, General Chemistry, Dissipation, 021001 nanoscience & nanotechnology, 030104 developmental biology, Binary classification, Biological Physics (physics.bio-ph), lcsh:Q, 0210 nano-technology, Curse of dimensionality |
| الوصف: | 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. The determination of entropy production from experimental data is a challenge but a recently introduced theoretical tool, the thermodynamic uncertainty relation, allows one to infer a lower bound on entropy production. Here the authors provide a critical assessment of the practical implementation of this tool. |
| تدمد: | 2041-1723 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc105851a04d78645510ade72027c07d https://doi.org/10.1038/s41467-019-09631-x |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....dc105851a04d78645510ade72027c07d |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20411723 |
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