A mechanical-piston Szilard engine driven by a run-and-tumble particle can extract positive work despite measurement errors, with an information efficiency that can nominally exceed Landauer's bound and that improves under cyclic operation.
Entropy production and thermodynamic inference for stochastic microswimmers
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abstract
The question of characterization of the degree of non-equilibrium 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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cond-mat.stat-mech 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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Mechanical work extraction from an error-prone active dynamic Szilard engine
A mechanical-piston Szilard engine driven by a run-and-tumble particle can extract positive work despite measurement errors, with an information efficiency that can nominally exceed Landauer's bound and that improves under cyclic operation.