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Colossal Power Extraction from Active Cyclic Brownian Information Engines
[Image: see text] Brownian information engines can extract work from thermal fluctuations by utilizing information. To date, the studies on Brownian information engines consider the system in a thermal bath; however, many processes in nature occur in a nonequilibrium setting, such as the suspensions...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358709/ https://www.ncbi.nlm.nih.gov/pubmed/35866740 http://dx.doi.org/10.1021/acs.jpclett.2c01736 |
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author | Paneru, Govind Dutta, Sandipan Pak, Hyuk Kyu |
author_facet | Paneru, Govind Dutta, Sandipan Pak, Hyuk Kyu |
author_sort | Paneru, Govind |
collection | PubMed |
description | [Image: see text] Brownian information engines can extract work from thermal fluctuations by utilizing information. To date, the studies on Brownian information engines consider the system in a thermal bath; however, many processes in nature occur in a nonequilibrium setting, such as the suspensions of self-propelled microorganisms or cellular environments called an active bath. Here, we introduce an archetypal model for a Maxwell-demon type cyclic Brownian information engine operating in a Gaussian correlated active bath capable of extracting more work than its thermal counterpart. We obtain a general integral fluctuation theorem for the active engine that includes additional mutual information gained from the active bath with a unique effective temperature. This effective description modifies the generalized second law and provides a new upper bound for the extracted work. Unlike the passive information engine operating in a thermal bath, the active information engine extracts colossal power that peaks at the finite cycle period. Our study provides fundamental insights into the design and functioning of synthetic and biological submicrometer motors in active baths under measurement and feedback control. |
format | Online Article Text |
id | pubmed-9358709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-93587092022-08-10 Colossal Power Extraction from Active Cyclic Brownian Information Engines Paneru, Govind Dutta, Sandipan Pak, Hyuk Kyu J Phys Chem Lett [Image: see text] Brownian information engines can extract work from thermal fluctuations by utilizing information. To date, the studies on Brownian information engines consider the system in a thermal bath; however, many processes in nature occur in a nonequilibrium setting, such as the suspensions of self-propelled microorganisms or cellular environments called an active bath. Here, we introduce an archetypal model for a Maxwell-demon type cyclic Brownian information engine operating in a Gaussian correlated active bath capable of extracting more work than its thermal counterpart. We obtain a general integral fluctuation theorem for the active engine that includes additional mutual information gained from the active bath with a unique effective temperature. This effective description modifies the generalized second law and provides a new upper bound for the extracted work. Unlike the passive information engine operating in a thermal bath, the active information engine extracts colossal power that peaks at the finite cycle period. Our study provides fundamental insights into the design and functioning of synthetic and biological submicrometer motors in active baths under measurement and feedback control. American Chemical Society 2022-07-22 2022-08-04 /pmc/articles/PMC9358709/ /pubmed/35866740 http://dx.doi.org/10.1021/acs.jpclett.2c01736 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Paneru, Govind Dutta, Sandipan Pak, Hyuk Kyu Colossal Power Extraction from Active Cyclic Brownian Information Engines |
title | Colossal Power
Extraction from Active Cyclic Brownian
Information Engines |
title_full | Colossal Power
Extraction from Active Cyclic Brownian
Information Engines |
title_fullStr | Colossal Power
Extraction from Active Cyclic Brownian
Information Engines |
title_full_unstemmed | Colossal Power
Extraction from Active Cyclic Brownian
Information Engines |
title_short | Colossal Power
Extraction from Active Cyclic Brownian
Information Engines |
title_sort | colossal power
extraction from active cyclic brownian
information engines |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358709/ https://www.ncbi.nlm.nih.gov/pubmed/35866740 http://dx.doi.org/10.1021/acs.jpclett.2c01736 |
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