Entropy production and thermodynamic inference for stochastic microswimmers
ORAL
Abstract
We study the characterization of the degree of non-equilibrium activity in active matter systems 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. We study 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.
* We acknowledge support from the Max Planck School Matter to Life and the MaxSynBio Consortium which are jointly funded by the Federal Ministry of Education and Research (BMBF) of Germany and the Max Planck Society.
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Presenters
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Michalis Chatzittofi
Max Planck Institute for Dynamics and Self-Organization
Authors
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Michalis Chatzittofi
Max Planck Institute for Dynamics and Self-Organization
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Jaime Agudo-Canalejo
Max Planck Institute for Dynamics and Self-Organization
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Ramin Golestanian
Max Planck Institute for Dynamics and Self-Organization