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  Entropy production and thermodynamic inference for stochastic microswimmers

Chatzittofi, M., Agudo-Canalejo, J., & Golestanian, R. (2024). Entropy production and thermodynamic inference for stochastic microswimmers. Physical Review Research, 6(2): L022044. doi:10.1103/PhysRevResearch.6.L022044.

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PhysRevResearch.6.L022044.pdf (Publisher version), 502KB
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Chatzittofi, Michalis1, Author                 
Agudo-Canalejo, Jaime1, Author                 
Golestanian, Ramin1, Author                 
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1Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2570692              

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 Abstract: The question of characterization of the degree of nonequilibrium activity in active matter systems is studied in the context of a stochastic microswimmer model driven by a chemical cycle. The resulting dynamical properties and entropy production rate unravel a complex interplay between the chemical and the hydrodynamic degrees of freedom beyond linear response, which is not captured by conventional phenomenological approaches. By studying the precision-dissipation trade off, a new protocol is proposed in which microscopic chemical driving forces can be inferred experimentally. Our findings highlight subtleties associated with the stochastic thermodynamics of autonomous microswimmers.

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Language(s): eng - English
 Dates: 2024-05-21
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.1103/PhysRevResearch.6.L022044
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Title: Physical Review Research
  Abbreviation : Phys. Rev. Research
Source Genre: Journal
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Publ. Info: College Park, Maryland, United States : American Physical Society (APS)
Pages: - Volume / Issue: 6 (2) Sequence Number: L022044 Start / End Page: - Identifier: ISSN: 2643-1564
CoNE: https://pure.mpg.de/cone/journals/resource/2643-1564