TY - JOUR
T1 - Active particles bound by information flows
AU - Khadka, Utsab
AU - Holubec, Viktor
AU - Yang, Haw
AU - Cichos, Frank
N1 - Funding Information:
Discussions with J. Shaevitz (Princeton University), K. Kroy (Universität Leipzig) and help with the sample preparations by D. Cichos (Berlin) are acknowledged. H.Y. and U. K. acknowledge support by the Betty and Gordon Moore foundation (grant # 4741). V.H. is supported by a Humboldt grant of the Alexander von Humboldt Foundation and by the Czech Science Foundation (project No. 17-06716S). F.C. is supported by grant CI 33/ 16-1 and the CRC TRR 102 “Polymers under multiple constraints” of the German Research Foundation (DFG).
Publisher Copyright:
© 2018, The Author(s).
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Self-organization is the generation of order out of local interactions. It is deeply connected to many fields of science from physics, chemistry to biology, all based on physical interactions. The emergence of collective animal behavior is the result of self-organization processes as well, though they involve abstract interactions arising from sensory inputs, information processing, storage, and feedback. Resulting collective behaviors are found, for example, in crowds of people, flocks of birds, and swarms of bacteria. Here we introduce interactions between active microparticles which are based on the information about other particle positions. A real-time feedback of multiple active particle positions is the information source for the propulsion direction of these particles. The emerging structures require continuous information flows. They reveal frustrated geometries due to confinement to two dimensions and internal dynamical degrees of freedom that are reminiscent of physically bound systems, though they exist only as nonequilibrium structures.
AB - Self-organization is the generation of order out of local interactions. It is deeply connected to many fields of science from physics, chemistry to biology, all based on physical interactions. The emergence of collective animal behavior is the result of self-organization processes as well, though they involve abstract interactions arising from sensory inputs, information processing, storage, and feedback. Resulting collective behaviors are found, for example, in crowds of people, flocks of birds, and swarms of bacteria. Here we introduce interactions between active microparticles which are based on the information about other particle positions. A real-time feedback of multiple active particle positions is the information source for the propulsion direction of these particles. The emerging structures require continuous information flows. They reveal frustrated geometries due to confinement to two dimensions and internal dynamical degrees of freedom that are reminiscent of physically bound systems, though they exist only as nonequilibrium structures.
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U2 - 10.1038/s41467-018-06445-1
DO - 10.1038/s41467-018-06445-1
M3 - Article
C2 - 30242284
AN - SCOPUS:85053807121
SN - 2041-1723
VL - 9
JO - Nature communications
JF - Nature communications
IS - 1
M1 - 3864
ER -