http://www.cnr.it/ontology/cnr/individuo/prodotto/ID1739
Kinetics of self-induced aggregation in Brownian particles (Articolo in rivista)
- Type
- Label
- Kinetics of self-induced aggregation in Brownian particles (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1103/PhysRevE.75.031111 (literal)
- Alternative label
Fabio Cecconi (1); Giuseppe Gonnella (2); Gustavo P. Saracco (3) (2007)
Kinetics of self-induced aggregation in Brownian particles
in Physical review. E, Statistical, nonlinear, and soft matter physics (Print)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Fabio Cecconi (1); Giuseppe Gonnella (2); Gustavo P. Saracco (3) (literal)
- Pagina inizio
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://link.aps.org/doi/10.1103/PhysRevE.75.031111 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- (1) INFM-SMC and Istituto dei Sistemi Complessi ISC-CNR, Via dei Taurini 19, I-00185 Rome, Italy
(2) Dipartimento di Fisica, Università di Bari and Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Via Amendola 173, 70126 Bari, Italy
(3) Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (INIFTA), UNLP, CONICET, Casilla de Correo 16, Sucursal 4 (1900) La Plata, Argentina (literal)
- Titolo
- Kinetics of self-induced aggregation in Brownian particles (literal)
- Abstract
- We study a model of interacting random walkers that proposes a simple mechanism for the emergence of cooperation in a group of individuals. Each individual, represented by a Brownian particle, experiences an interaction produced by the local unbalance in the spatial distribution of the other individuals. This interaction results in a nonlinear velocity driving the particle trajectories in the direction of the nearest more crowded region; the competition among different aggregating centers generates nontrivial dynamical regimes. Our simulations show that for sufficiently low randomness the system evolves through a coalescence behavior characterized by clusters of particles growing with a power law in time. In addition, the typical scaling properties of the general theory of stochastic aggregation processes are verified. (literal)
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