Quantitative analysis of non-equilibrium systems from short-time experimental data
Thermal fluctuations play a crucial role in non-equilibrium phenomena at microscopic length scales, making it challenging to analyse and interpret experimental data. Here, the authors demonstrate that the short-time thermodynamic uncertainty relation inference scheme can estimate the entropy product...
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Nature Portfolio
2021
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oai:doaj.org-article:37e24b4bc19c4fdfb24434105598675a2021-12-05T12:17:54ZQuantitative analysis of non-equilibrium systems from short-time experimental data10.1038/s42005-021-00766-22399-3650https://doaj.org/article/37e24b4bc19c4fdfb24434105598675a2021-12-01T00:00:00Zhttps://doi.org/10.1038/s42005-021-00766-2https://doaj.org/toc/2399-3650Thermal fluctuations play a crucial role in non-equilibrium phenomena at microscopic length scales, making it challenging to analyse and interpret experimental data. Here, the authors demonstrate that the short-time thermodynamic uncertainty relation inference scheme can estimate the entropy production rate for a colloidal particle in time-varying potentials and with background flows determined by the presence of a microbubble.Sreekanth K. ManikandanSubhrokoli GhoshAvijit KunduBiswajit DasVipin AgrawalDhrubaditya MitraAyan BanerjeeSupriya KrishnamurthyNature PortfolioarticleAstrophysicsQB460-466PhysicsQC1-999ENCommunications Physics, Vol 4, Iss 1, Pp 1-10 (2021) |
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Astrophysics QB460-466 Physics QC1-999 |
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Astrophysics QB460-466 Physics QC1-999 Sreekanth K. Manikandan Subhrokoli Ghosh Avijit Kundu Biswajit Das Vipin Agrawal Dhrubaditya Mitra Ayan Banerjee Supriya Krishnamurthy Quantitative analysis of non-equilibrium systems from short-time experimental data |
description |
Thermal fluctuations play a crucial role in non-equilibrium phenomena at microscopic length scales, making it challenging to analyse and interpret experimental data. Here, the authors demonstrate that the short-time thermodynamic uncertainty relation inference scheme can estimate the entropy production rate for a colloidal particle in time-varying potentials and with background flows determined by the presence of a microbubble. |
format |
article |
author |
Sreekanth K. Manikandan Subhrokoli Ghosh Avijit Kundu Biswajit Das Vipin Agrawal Dhrubaditya Mitra Ayan Banerjee Supriya Krishnamurthy |
author_facet |
Sreekanth K. Manikandan Subhrokoli Ghosh Avijit Kundu Biswajit Das Vipin Agrawal Dhrubaditya Mitra Ayan Banerjee Supriya Krishnamurthy |
author_sort |
Sreekanth K. Manikandan |
title |
Quantitative analysis of non-equilibrium systems from short-time experimental data |
title_short |
Quantitative analysis of non-equilibrium systems from short-time experimental data |
title_full |
Quantitative analysis of non-equilibrium systems from short-time experimental data |
title_fullStr |
Quantitative analysis of non-equilibrium systems from short-time experimental data |
title_full_unstemmed |
Quantitative analysis of non-equilibrium systems from short-time experimental data |
title_sort |
quantitative analysis of non-equilibrium systems from short-time experimental data |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/37e24b4bc19c4fdfb24434105598675a |
work_keys_str_mv |
AT sreekanthkmanikandan quantitativeanalysisofnonequilibriumsystemsfromshorttimeexperimentaldata AT subhrokolighosh quantitativeanalysisofnonequilibriumsystemsfromshorttimeexperimentaldata AT avijitkundu quantitativeanalysisofnonequilibriumsystemsfromshorttimeexperimentaldata AT biswajitdas quantitativeanalysisofnonequilibriumsystemsfromshorttimeexperimentaldata AT vipinagrawal quantitativeanalysisofnonequilibriumsystemsfromshorttimeexperimentaldata AT dhrubadityamitra quantitativeanalysisofnonequilibriumsystemsfromshorttimeexperimentaldata AT ayanbanerjee quantitativeanalysisofnonequilibriumsystemsfromshorttimeexperimentaldata AT supriyakrishnamurthy quantitativeanalysisofnonequilibriumsystemsfromshorttimeexperimentaldata |
_version_ |
1718372068364386304 |