001     909857
005     20240610121155.0
024 7 _ |a 10.1039/D2SM00622G
|2 doi
024 7 _ |a 1744-683X
|2 ISSN
024 7 _ |a 1744-6848
|2 ISSN
024 7 _ |a 2128/31893
|2 Handle
024 7 _ |a 36043635
|2 pmid
024 7 _ |a WOS:000847743500001
|2 WOS
037 _ _ |a FZJ-2022-03470
082 _ _ |a 530
100 1 _ |a Iyer, Priyanka
|0 P:(DE-Juel1)186024
|b 0
|u fzj
245 _ _ |a Non-equilibrium shapes and dynamics of active vesicles
260 _ _ |a London
|c 2022
|b Royal Soc. of Chemistry
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1663941171_350
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Active vesicles, constructed through the confinement of self-propelled particles (SPPs) inside a lipid membrane shell, exhibit a large variety of non-equilibrium shapes, ranging from the formation of local tethers and dendritic conformations, to prolate and bola-like structures. To better understand the behavior of active vesicles, we perform simulations of membranes modelled as dynamically triangulated surfaces enclosing active Brownian particles. A systematic analysis of membrane deformations and SPP clustering, as a function of SPP activity and volume fraction inside the vesicle is carried out. Distributions of membrane local curvature, and the clustering and mobility of SPPs obtained from simulations of active vesicles are analysed. There exists a feedback mechanism between the enhancement of membrane curvature, the formation of clusters of active particles, and local or global changes in vesicle shape. The emergence of active tension due to the activity of SPPs can well be captured by the Young–Laplace equation. Furthermore, a simple numerical method for tether detection is presented and used to determine correlations between the number of tethers, their length, and local curvature. We also provide several geometrical arguments to explain different tether characteristics for various conditions. These results contribute to the future development of steerable active vesicles or soft micro-robots whose behaviour can be controlled and used for potential applications.
536 _ _ |a 5243 - Information Processing in Distributed Systems (POF4-524)
|0 G:(DE-HGF)POF4-5243
|c POF4-524
|f POF IV
|x 0
588 _ _ |a Dataset connected to DataCite
700 1 _ |a Gompper, Gerhard
|0 P:(DE-Juel1)130665
|b 1
700 1 _ |a Fedosov, Dmitry A.
|0 P:(DE-Juel1)140336
|b 2
|e Corresponding author
773 _ _ |a 10.1039/D2SM00622G
|g Vol. 18, no. 36, p. 6868 - 6881
|0 PERI:(DE-600)2191476-X
|n 36
|p 6868 - 6881
|t Soft matter
|v 18
|y 2022
|x 1744-683X
856 4 _ |u https://juser.fz-juelich.de/record/909857/files/d2sm00622g.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:909857
|p openaire
|p open_access
|p driver
|p VDB
|p openCost
|p dnbdelivery
|q OpenAPC
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)186024
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)130665
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)140336
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-524
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Molecular and Cellular Information Processing
|9 G:(DE-HGF)POF4-5243
|x 0
914 1 _ |y 2022
915 _ _ |a Creative Commons Attribution CC BY 3.0
|0 LIC:(DE-HGF)CCBY3
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-30
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-30
915 _ _ |a National-Konsortium
|0 StatID:(DE-HGF)0430
|2 StatID
|d 2022-11-13
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-13
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-13
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-13
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-13
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2022-11-13
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b SOFT MATTER : 2021
|d 2022-11-13
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2022-11-13
915 p c |a Local Funding
|2 APC
|0 PC:(DE-HGF)0001
915 p c |a DFG OA Publikationskosten
|2 APC
|0 PC:(DE-HGF)0002
915 p c |a TIB: Royal Society of Chemistry 2021
|2 APC
|0 PC:(DE-HGF)0110
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBI-5-20200312
|k IBI-5
|l Theoretische Physik der Lebenden Materie
|x 0
920 1 _ |0 I:(DE-Juel1)IAS-2-20090406
|k IAS-2
|l Theorie der Weichen Materie und Biophysik
|x 1
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IBI-5-20200312
980 _ _ |a APC
980 _ _ |a I:(DE-Juel1)IAS-2-20090406
981 _ _ |a I:(DE-Juel1)IAS-2-20090406


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21