Literature DB >> 22400745

Hamiltonian traffic dynamics in microfluidic-loop networks.

Raphaël Jeanneret1, Julien-Piera Vest, Denis Bartolo.   

Abstract

Recent microfluidic experiments revealed that large particles advected in a fluidic loop display long-range hydrodynamic interactions. However, the consequences of such couplings on the traffic dynamics in more complex networks remain poorly understood. In this Letter, we focus on the transport of a finite number of particles in one-dimensional loop networks. By combining numerical, theoretical, and experimental efforts, we evidence that this collective process offers a unique example of Hamiltonian dynamics for hydrodynamically interacting particles. In addition, we show that the asymptotic trajectories are necessarily reciprocal despite the microscopic traffic rules explicitly break the time-reversal symmetry. We exploit these two remarkable properties to account for the salient features of the effective three-particle interaction induced by the exploration of fluidic loops.
© 2012 American Physical Society

Year:  2012        PMID: 22400745     DOI: 10.1103/PhysRevLett.108.034501

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  1 in total

1.  Millifluidics as a simple tool to optimize droplet networks: Case study on drop traffic in a bifurcated loop.

Authors:  William S Wang; Siva A Vanapalli
Journal:  Biomicrofluidics       Date:  2014-12-01       Impact factor: 2.800

  1 in total

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