Szilard Engines and Information-Based Work Extraction for Active Systems.


Journal

Physical review letters
ISSN: 1079-7114
Titre abrégé: Phys Rev Lett
Pays: United States
ID NLM: 0401141

Informations de publication

Date de publication:
23 Nov 2022
Historique:
received: 24 03 2022
revised: 06 07 2022
accepted: 01 11 2022
entrez: 9 12 2022
pubmed: 10 12 2022
medline: 10 12 2022
Statut: ppublish

Résumé

The out of equilibrium nature of active systems can be exploited for the design of information-based engines. We design two types of an active Szilard engine that use a Maxwell demon to extract work from an active bath composed of noninteracting active Brownian particles. The two engines exploit either the quasistatic active pressure of active Brownian particles or the long correlation time of their velocities. For both engines the active bath allows us to overcome the Landauer principle and to extract larger work compared to conventional Szilard engines operating in quasithermal equilibrium. For both of our engines, we identify the optimal regimes at which the work extracted and the efficiency are maximized. Finally, we discuss them in the context of synthetic and biological active systems.

Identifiants

pubmed: 36493440
doi: 10.1103/PhysRevLett.129.228005
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

228005

Auteurs

Paolo Malgaretti (P)

Helmholtz Institute Erlangen-Nürnberg for Renewable Energy (IEK-11), Forschungszentrum Jülich, Cauerstr. 1, 91058 Erlangen, Germany.

Holger Stark (H)

Institut für Theoretische Physik, Technische Universität Berlin, Hardenbergstr. 36, 10623 Berlin, Germany.

Classifications MeSH