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Curriculum Vitae - APC - Université Paris Diderot-Paris 7

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showed that the traffic dynamics is a non-linear process: the particle current does not scale<br />

with the particle density even in the dilute limit where no particle collision occurs, Fig. 2B.<br />

We have demonstrated that this non-linear behaviour stems from long-range hydrodynamic<br />

interactions. Importantly, we have also established that there exists a maximal current, j*,<br />

above which no stationary particle flow can be sustained, Fig. 2B. For higher current values,<br />

traffic jams forms thereby inducing correlated ejections of the particles out of their the initial<br />

path and the subsequent invasion of the network. We proved that the reason for this invasion<br />

transition is akin to the formation of bona fide jams in vehicle-traffic flows, which display<br />

current-density relations qualitatively comparable to the one observed in our minimal fluidic<br />

setup. We also performed preliminary experiments above the network invasion threshold, and<br />

demonstrated that the traffic dynamics is strongly intermittent in this regime. The traffic jams<br />

form slowly and quickly break along the initially preferred path, which results in an<br />

avalanche-like dynamics as illustrated in Fig 2. C. This first set of experiments revealed that<br />

the traffic dynamics above j* yield non-Gaussian density fluctuations in the network, [8]. The<br />

first axis of our project will be directly motivated by these first experimental findings.<br />

4.4.2. Self-propelled colloids: Quincke rotators<br />

Over the last four months, with Antoine Bricard (PhD), we have devised a new experimental<br />

set-up to create, to manipulate, and to observe a new kind of self-propelled colloids in<br />

microfluidic devices. In brief, we have taken advantage of an overlooked electro-rotation<br />

phenomena discovered by Quincke more than a century ago [18-19]. The so-called Quincke<br />

effect is an electrohydrodynamic instability, which arises when an insulating particle is<br />

immersed in a weakly conducting fluid and subject to an homogeneous DC electric field, E.<br />

Above a critical field amplitude Ec, the induced charge distribution around the particle<br />

becomes unstable (supercritical), thereby inducing a net torque on the particle, which then<br />

rotates at a constant angular velocity. The rotation vector is normal to the electric field, Fig.<br />

3A. Our idea was basically to exploit this phenomenon, to build “colloidal rollers”. Indeed,<br />

when a Quincke rotor lies on a solid surface, it should start rolling on it for electric fields<br />

normal to the solid surface. This is precisely what we observed with commercial polystyrene<br />

colloids in alcane oils. In Fig. 3B, we show the trajectories of an ensemble of 5 microns<br />

colloids rolling on the surface of a microfluidic chamber made of a microfluidic sticker<br />

(height 50 microns). As the induced polarization of the colloids spontaneously breaks the<br />

rotational symmetry, the particles are prone to strong rotational diffusion in the directions<br />

normal to the electric field. In addition, the angular velocity increases as (E-Ec) 1/2 .<br />

Consequently, varying the electric field amplitude enable us to fine-tune the persistence<br />

length of these self-propelled colloids, see in Fig. 3C.<br />

The three major advantages of this novel system are: (i) Its lifetime is not limited by a finite<br />

fuel reservoir. The particles stop only when the electric field is shut down. (ii) It is effective in<br />

a wide range of surface concentration: from very dilute to close-packed colloids. (iii) As<br />

opposed to biological systems for instance, the Quincke rollers, have a very limited number of<br />

control parameters, which are well identified and that can be tuned over decades. These<br />

unique properties open the way to a quantitative program dedicated to the collective dynamics<br />

of motile particles in simple geometries and in random networks.

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