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001 | 911607 | ||
005 | 20230310131318.0 | ||
024 | 7 | _ | |a 2128/32750 |2 Handle |
037 | _ | _ | |a FZJ-2022-04866 |
041 | _ | _ | |a English |
100 | 1 | _ | |a Cordes, Jakob |0 P:(DE-Juel1)187329 |b 0 |e Corresponding author |u fzj |
111 | 2 | _ | |a JMC 2022 |c Lyon |d 2022-08-22 - 2022-08-26 |w France |
245 | _ | _ | |a Noise-induced breakdown in linear self-driven particle systems |
260 | _ | _ | |c 2022 |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
336 | 7 | _ | |a conferenceObject |2 DRIVER |
336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
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336 | 7 | _ | |a Poster |b poster |m poster |0 PUB:(DE-HGF)24 |s 1669202054_4739 |2 PUB:(DE-HGF) |x After Call |
502 | _ | _ | |c Universität zu Köln |
520 | _ | _ | |a Self-driven particle systems can describe many self-organized phenomena. Prominentexamples are oscillation, wave, lane, or band formations, among other swarming andcoordinated movements. Collective dynamics are classically understood in the literature of active matter as motility-induced phase separation using meta-stable non-linear in-teraction models. Critical settings of the parameters separate the disorder states from non-uniform dynamics describing macroscopic patterns and structures. We show in this contribution that noise effects can initiate the spontaneous formation of waves insingle-file motions of self-driven particles. In contrast to usual modeling approaches, no non-linear interaction mechanisms or phase transitions are necessary to coordinate the dynamics. The stochastic effects initiate the self-organization in the second order in a purely linear and ergodic framework. The coupling of the noise to a discrete gradient in space yields the emergence of stop-and-go waves, which we characterize using speed and spacing auto-correlation functions. Varying the characteristics of the noise allows for obtaining rich dynamics ranging from coupled dynamics and stable homogeneous dynamics to stop-and-go patterns with deterministic oscillating features. |
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536 | _ | _ | |a DFG project 446168800 - Multi-Agent-Modellierung der Dynamik von dichten Fußgängermengen: Vorhersagen Verstehen (446168800) |0 G:(GEPRIS)446168800 |c 446168800 |x 1 |
700 | 1 | _ | |a Tordeux, Antoine |0 P:(DE-Juel1)159135 |b 1 |
700 | 1 | _ | |a Schadschneider, Andreas |0 P:(DE-HGF)0 |b 2 |
700 | 1 | _ | |a Rüdiger, Babara |0 P:(DE-HGF)0 |b 3 |
700 | 1 | _ | |a Ugurcan, Baris |0 P:(DE-HGF)0 |b 4 |
856 | 4 | _ | |u https://juser.fz-juelich.de/record/911607/files/Poster_JMC_Cordes.pdf |y OpenAccess |
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914 | 1 | _ | |y 2022 |
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