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Curriculum Vitae - APC - Université Paris Diderot-Paris 7

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compares to the typical width of the channels, or to the distance between the obstacles. Indeed, the<br />

particles then behave as “mobile clogs”, which locally modify the network conductivity, thereby<br />

inducing large-scale flow disturbances. Similarly, cutting a single wire in an electrical network<br />

would results in a global redistribution of the electric current, though the electrical conductivity is<br />

only modified locally. In addition, we know that cutting a finite fraction of the wires in an<br />

electrical network is enough to destroy it. Going back to the fluidic problem, this means that a<br />

finite fraction of clogs is enough obstruct the network. However, what makes the problem much<br />

more challenging in the fluidic context, is that the particles we want to transport are themselves<br />

responsible for the obstruction. More precisely, the local (partial) clogging makes the particletransport<br />

problem, nonlinear and nonlocal, as the local particle current depends a priori on the<br />

position of all the other particles in the network. So far, the description of the transition from a<br />

stationary flowing state to a jammed state where the particles remain trapped in the network is an<br />

open problem (see also the state of the art section III). Precisely we purpose to provide a first<br />

quantitative understanding of this problem, which is relevant for all the afore-mentioned examples<br />

(Filtration, enhance oil recovery, blood microflows,…).<br />

Traffic of self-propelled particles: collective motion and beyond<br />

In the case of self-propelled particles, the traffic dynamics is already highly non-trivial even for<br />

small particles. Self-propelled particles can be basically considered as random walkers having a<br />

finite persistence length. The understanding of the diffusion of non-interacting particles in<br />

heterogeneous media, and more specifically in disordered media, has drawn much attention over<br />

the last 30 years. This canonical statistical mechanics problem is a paradigm both for transport<br />

problems but also for the relaxation of disordered materials in their conformational space, see e.g.<br />

[5]. The description of the collective traffic dynamics of motile agents in disordered fluidic<br />

networks goes beyond this framework. It indeed requires to take into account the contact, and, or<br />

hydrodynamic interactions between the particles, thereby making the theoretical description of<br />

these systems utterly challenging. Again, this situation is relevant to all the traffic phenomena<br />

discussed in the introduction. In fact, most of the studies on the collective behavior of selfpropelled<br />

particles have hitherto focused on the emergence of collective behavior such as the<br />

formation of large-scale cluster undergoing coherent motion in homogeneous media, such as the<br />

one observed in fish schools, bird flocks, and bacterial swarms [12,14]. How can these results be<br />

extended to the traffic in heterogeneous media such as disordered obstacle networks or random<br />

channel networks? Despite the question sounds very natural when considering all the examples<br />

given in the introduction (vehicle traffic in urban networks, contamination of soils and<br />

cytoplasmic streaming, …), to the best of our knowledge, these questions have never been<br />

addressed from a physics perspective.<br />

Position of the project<br />

In order to uncover the generic features of these two classes of traffic processes, we will<br />

systematically combine concepts and tools from soft-condensed matter, statistical mechanics<br />

and hydrodynamics. The project is in essence a fundamental research project. It will mainly<br />

contribute to knowledge development. Also, more direct applications of our research must not<br />

be eluded. To inspire and guide our questioning, we will definitely take advantage of our<br />

current collaborations with one of our industrial sponsor, TOTAL, which has today a crucial<br />

need of a physical input to achieve controlled and efficient enhance oil recovery in the highly<br />

strategic heavy-oil fields. Finally, we hope to be capable of making statements relevant to<br />

many research areas, possibly bringing new light to fields outside of fluid mechanics and softcondensed<br />

matter.

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