Harvesting information to control non-equilibrium states of active matter

We propose to use a correlated noise bath to drive an optically trapped Brownian particle that mimics active biological matter. Thanks to the flexibility and precision of our setup, we are able to control the different parameters that drive the stochastic motion of the particle with unprecedented ac...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2022-11
Main Authors: Goerlich, Rémi, Luís Barbosa Pires, Manfredi, Giovanni, Paul-Antoine Hervieux, Genet, Cyriaque
Format: Article
Language:English
Subjects:
Active control
Brownian motion
Correlation
Noise
Noise control
Parameters
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites
container_end_page
container_issue
container_start_page
container_title arXiv.org
container_volume
creator Goerlich, Rémi
Luís Barbosa Pires
Manfredi, Giovanni
Paul-Antoine Hervieux
Genet, Cyriaque
description We propose to use a correlated noise bath to drive an optically trapped Brownian particle that mimics active biological matter. Thanks to the flexibility and precision of our setup, we are able to control the different parameters that drive the stochastic motion of the particle with unprecedented accuracy, thus reaching strongly correlated regimes that are not easily accessible with real active matter. In particular, by using the correlation time (i.e., the "color") of the noise as a control parameter, we can trigger transitions between two non-equilibrium steady states with no expended work, but only a calorific cost. Remarkably, the measured heat production is directly proportional to the spectral entropy of the correlated noise, in a fashion that is reminiscent of Landauer's principle. Our procedure can be viewed as a method for harvesting information from the active fluctuations.
format article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_journals_2612564129</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2612564129</sourcerecordid><originalsourceid>FETCH-proquest_journals_26125641293</originalsourceid><addsrcrecordid>eNqNjcEKgkAURYcgSMp_eNBa0DdqtY7C9u1lkjGe6LyceeP356IPaHUX5xzuRiWodZGdS8SdSkMY8jzH-oRVpRP1aIxfbBBybyDXs5-MEDsQho6deB7BscvsHGmkl6c4QRAjNgD3YDqhxcKaiPUHte3NGGz627063m_Pa5N9PM9xvWgHjt6tqMW6wKouC7zo_6wvCFo9UQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2612564129</pqid></control><display><type>article</type><title>Harvesting information to control non-equilibrium states of active matter</title><source>Publicly Available Content Database</source><creator>Goerlich, Rémi ; Luís Barbosa Pires ; Manfredi, Giovanni ; Paul-Antoine Hervieux ; Genet, Cyriaque</creator><creatorcontrib>Goerlich, Rémi ; Luís Barbosa Pires ; Manfredi, Giovanni ; Paul-Antoine Hervieux ; Genet, Cyriaque</creatorcontrib><description>We propose to use a correlated noise bath to drive an optically trapped Brownian particle that mimics active biological matter. Thanks to the flexibility and precision of our setup, we are able to control the different parameters that drive the stochastic motion of the particle with unprecedented accuracy, thus reaching strongly correlated regimes that are not easily accessible with real active matter. In particular, by using the correlation time (i.e., the "color") of the noise as a control parameter, we can trigger transitions between two non-equilibrium steady states with no expended work, but only a calorific cost. Remarkably, the measured heat production is directly proportional to the spectral entropy of the correlated noise, in a fashion that is reminiscent of Landauer's principle. Our procedure can be viewed as a method for harvesting information from the active fluctuations.</description><identifier>EISSN: 2331-8422</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Active control ; Brownian motion ; Correlation ; Noise ; Noise control ; Parameters</subject><ispartof>arXiv.org, 2022-11</ispartof><rights>2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2612564129?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>778,782,25740,36999,44577</link.rule.ids></links><search><creatorcontrib>Goerlich, Rémi</creatorcontrib><creatorcontrib>Luís Barbosa Pires</creatorcontrib><creatorcontrib>Manfredi, Giovanni</creatorcontrib><creatorcontrib>Paul-Antoine Hervieux</creatorcontrib><creatorcontrib>Genet, Cyriaque</creatorcontrib><title>Harvesting information to control non-equilibrium states of active matter</title><title>arXiv.org</title><description>We propose to use a correlated noise bath to drive an optically trapped Brownian particle that mimics active biological matter. Thanks to the flexibility and precision of our setup, we are able to control the different parameters that drive the stochastic motion of the particle with unprecedented accuracy, thus reaching strongly correlated regimes that are not easily accessible with real active matter. In particular, by using the correlation time (i.e., the "color") of the noise as a control parameter, we can trigger transitions between two non-equilibrium steady states with no expended work, but only a calorific cost. Remarkably, the measured heat production is directly proportional to the spectral entropy of the correlated noise, in a fashion that is reminiscent of Landauer's principle. Our procedure can be viewed as a method for harvesting information from the active fluctuations.</description><subject>Active control</subject><subject>Brownian motion</subject><subject>Correlation</subject><subject>Noise</subject><subject>Noise control</subject><subject>Parameters</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNqNjcEKgkAURYcgSMp_eNBa0DdqtY7C9u1lkjGe6LyceeP356IPaHUX5xzuRiWodZGdS8SdSkMY8jzH-oRVpRP1aIxfbBBybyDXs5-MEDsQho6deB7BscvsHGmkl6c4QRAjNgD3YDqhxcKaiPUHte3NGGz627063m_Pa5N9PM9xvWgHjt6tqMW6wKouC7zo_6wvCFo9UQ</recordid><startdate>20221102</startdate><enddate>20221102</enddate><creator>Goerlich, Rémi</creator><creator>Luís Barbosa Pires</creator><creator>Manfredi, Giovanni</creator><creator>Paul-Antoine Hervieux</creator><creator>Genet, Cyriaque</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20221102</creationdate><title>Harvesting information to control non-equilibrium states of active matter</title><author>Goerlich, Rémi ; Luís Barbosa Pires ; Manfredi, Giovanni ; Paul-Antoine Hervieux ; Genet, Cyriaque</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-proquest_journals_26125641293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Active control</topic><topic>Brownian motion</topic><topic>Correlation</topic><topic>Noise</topic><topic>Noise control</topic><topic>Parameters</topic><toplevel>online_resources</toplevel><creatorcontrib>Goerlich, Rémi</creatorcontrib><creatorcontrib>Luís Barbosa Pires</creatorcontrib><creatorcontrib>Manfredi, Giovanni</creatorcontrib><creatorcontrib>Paul-Antoine Hervieux</creatorcontrib><creatorcontrib>Genet, Cyriaque</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Goerlich, Rémi</au><au>Luís Barbosa Pires</au><au>Manfredi, Giovanni</au><au>Paul-Antoine Hervieux</au><au>Genet, Cyriaque</au><format>book</format><genre>document</genre><ristype>GEN</ristype><atitle>Harvesting information to control non-equilibrium states of active matter</atitle><jtitle>arXiv.org</jtitle><date>2022-11-02</date><risdate>2022</risdate><eissn>2331-8422</eissn><abstract>We propose to use a correlated noise bath to drive an optically trapped Brownian particle that mimics active biological matter. Thanks to the flexibility and precision of our setup, we are able to control the different parameters that drive the stochastic motion of the particle with unprecedented accuracy, thus reaching strongly correlated regimes that are not easily accessible with real active matter. In particular, by using the correlation time (i.e., the "color") of the noise as a control parameter, we can trigger transitions between two non-equilibrium steady states with no expended work, but only a calorific cost. Remarkably, the measured heat production is directly proportional to the spectral entropy of the correlated noise, in a fashion that is reminiscent of Landauer's principle. Our procedure can be viewed as a method for harvesting information from the active fluctuations.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier EISSN: 2331-8422
ispartof arXiv.org, 2022-11
issn 2331-8422
language eng
recordid cdi_proquest_journals_2612564129
source Publicly Available Content Database
subjects Active control
Brownian motion
Correlation
Noise
Noise control
Parameters
title Harvesting information to control non-equilibrium states of active matter
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T20%3A43%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=document&rft.atitle=Harvesting%20information%20to%20control%20non-equilibrium%20states%20of%20active%20matter&rft.jtitle=arXiv.org&rft.au=Goerlich,%20R%C3%A9mi&rft.date=2022-11-02&rft.eissn=2331-8422&rft_id=info:doi/&rft_dat=%3Cproquest%3E2612564129%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-proquest_journals_26125641293%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2612564129&rft_id=info:pmid/&rfr_iscdi=true