TY - JOUR
T1 - Many-body Szilárd engine with giant number fluctuations
AU - Chor, Omer
AU - Sohachi, Amir
AU - Goerlich, Rémi
AU - Rosen, Eran
AU - Rahav, Saar
AU - Roichman, Yael
N1 - Publisher Copyright:
© 2023 authors. Published by the American Physical Society. Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
PY - 2023/10
Y1 - 2023/10
N2 - Szilárd's information engine is a canonical example in the field of thermodynamics of information. We realize experimentally a macroscopic many-particle Szilárd engine that consists of active particles and use it to lift a mass against gravity. We show that the extractable work per cycle increases when the raised weight is changed more gradually during the process. Interestingly, we find that the ideal extractable work grows with the number of particles due to giant number fluctuations. This is in contrast to the calculated behavior of a similar engine operating on thermal particles.
AB - Szilárd's information engine is a canonical example in the field of thermodynamics of information. We realize experimentally a macroscopic many-particle Szilárd engine that consists of active particles and use it to lift a mass against gravity. We show that the extractable work per cycle increases when the raised weight is changed more gradually during the process. Interestingly, we find that the ideal extractable work grows with the number of particles due to giant number fluctuations. This is in contrast to the calculated behavior of a similar engine operating on thermal particles.
UR - http://www.scopus.com/inward/record.url?scp=85179013547&partnerID=8YFLogxK
U2 - 10.1103/PhysRevResearch.5.043193
DO - 10.1103/PhysRevResearch.5.043193
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AN - SCOPUS:85179013547
SN - 2643-1564
VL - 5
JO - Physical Review Research
JF - Physical Review Research
IS - 4
M1 - 043193
ER -