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
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