Hydrodynamic Interactions, Hidden Order, and Emergent Collective Behavior in an Active Bacterial Suspension
Spontaneous self-organization (clustering) in magnetically oriented bacteria arises from attractive pairwise hydrodynamics, which are directly determined through experiment and corroborated by a simple analytical model. Lossless compression algorithms are used to identify the onset of many-body self...
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| Veröffentlicht in: | Physical review letters 2018-11, Vol.121 (18), p.188001-188001, Article 188001 |
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| container_end_page | 188001 |
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| container_issue | 18 |
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| container_title | Physical review letters |
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| creator | Pierce, C J Wijesinghe, H Mumper, E Lower, B H Lower, S K Sooryakumar, R |
| description | Spontaneous self-organization (clustering) in magnetically oriented bacteria arises from attractive pairwise hydrodynamics, which are directly determined through experiment and corroborated by a simple analytical model. Lossless compression algorithms are used to identify the onset of many-body self-organization as a function of experimental tuning parameters. Cluster growth is governed by the interplay between hydrodynamic attraction and magnetic dipole repulsion, leading to logarithmic time dependence of the cluster size. The dynamics of these complex, far-from-equilibrium structures are relevant to broader phenomena in condensed matter, statistical mechanics, and biology. |
| doi_str_mv | 10.1103/PhysRevLett.121.188001 |
| format | Article |
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Lossless compression algorithms are used to identify the onset of many-body self-organization as a function of experimental tuning parameters. Cluster growth is governed by the interplay between hydrodynamic attraction and magnetic dipole repulsion, leading to logarithmic time dependence of the cluster size. The dynamics of these complex, far-from-equilibrium structures are relevant to broader phenomena in condensed matter, statistical mechanics, and biology.</description><identifier>ISSN: 0031-9007</identifier><identifier>EISSN: 1079-7114</identifier><identifier>DOI: 10.1103/PhysRevLett.121.188001</identifier><identifier>PMID: 30444412</identifier><language>eng</language><publisher>United States: American Physical Society</publisher><subject>Bacteria ; Bacteria - cytology ; Clustering ; Computational fluid dynamics ; Condensed matter physics ; Fluid flow ; Hydrodynamics ; Magnetic dipoles ; Mathematical models ; Models, Biological ; Movement ; Statistical mechanics ; Suspensions ; Time dependence</subject><ispartof>Physical review letters, 2018-11, Vol.121 (18), p.188001-188001, Article 188001</ispartof><rights>Copyright American Physical Society Nov 2, 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c387t-3ac772408ba88d104913d53328f6e62e6de812cc17059ef518937be4f207b1b63</citedby><cites>FETCH-LOGICAL-c387t-3ac772408ba88d104913d53328f6e62e6de812cc17059ef518937be4f207b1b63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,2863,2864,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30444412$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pierce, C J</creatorcontrib><creatorcontrib>Wijesinghe, H</creatorcontrib><creatorcontrib>Mumper, E</creatorcontrib><creatorcontrib>Lower, B H</creatorcontrib><creatorcontrib>Lower, S K</creatorcontrib><creatorcontrib>Sooryakumar, R</creatorcontrib><title>Hydrodynamic Interactions, Hidden Order, and Emergent Collective Behavior in an Active Bacterial Suspension</title><title>Physical review letters</title><addtitle>Phys Rev Lett</addtitle><description>Spontaneous self-organization (clustering) in magnetically oriented bacteria arises from attractive pairwise hydrodynamics, which are directly determined through experiment and corroborated by a simple analytical model. Lossless compression algorithms are used to identify the onset of many-body self-organization as a function of experimental tuning parameters. Cluster growth is governed by the interplay between hydrodynamic attraction and magnetic dipole repulsion, leading to logarithmic time dependence of the cluster size. 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| source | MEDLINE; American Physical Society Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Bacteria Bacteria - cytology Clustering Computational fluid dynamics Condensed matter physics Fluid flow Hydrodynamics Magnetic dipoles Mathematical models Models, Biological Movement Statistical mechanics Suspensions Time dependence |
| title | Hydrodynamic Interactions, Hidden Order, and Emergent Collective Behavior in an Active Bacterial Suspension |
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