Congratulations to Miguel Ruiz-Garcia!
Check out https://arxiv.org/abs/2001.01811
Topologically controlled emergent dynamics in flow networks
We present a model for flow networks with non-linear conductance that allows for internal accumulation/depletion of volume. In the absence of any time dependence in the pressure input and output we observe emerging dynamics in the form of self-sustained waves which travel through the system. These spontaneously emerging fluctuations persist for a broad range of network topologies and system parameters. The frequency of the self-sustained waves depends strongly on the network architecture and it can be explained with a topological metric.
Threading the spindle: a geometric study of chiral liquid crystal polymer microparticles
Helen S. Ansell, Dae Seok Kim, Randall D. Kamien, Eleni Katifori, and Teresa Lopez-Leon
Polymeric particles are strong candidates for designing artificial materials capable of emulating the complex twisting-based functionality observed in biological systems. We studied the swelling behavior of bipolar polymer liquid crystalline microparticles. Deswelling from the spherical bipolar configuration causes the microparticle to contract anisotropically and twist in the process, resulting in a twisted spindle shaped structure.
For a nice write-up of our work in PhysicsWorld, see:
Modern leaves, the energy factories of plants, are the products of a 400-million-year evolutionary race towards improved efficiency and robustness. As such they have evolved two sophisticated transport systems, the xylem and the phloem, which irrigate the surface of the leaf blade, distribute water and nutrients, and collect the products of photosynthesis. In this review, we discuss the development and function of these two networks. Additionally, with a focus on the global topological and architectural features, we present an overview of the evolution of reticulation through the lens of transport network optimization theory and analyze some aspects of the physics of flow.
Resilience in Hierarchical Fluid Flow Networks
Tatyana Gavrilchenko and Eleni Katifori
The structure of flow networks determines their function under normal conditions as well as their response to perturbative damage. Brain vasculature often experiences transient or permanent occlusions in the finest vessels, but it is not clear how these micro-clots affect the large scale blood flow or to what extent they decrease functionality. Motivated by this, we investigate how flow is rerouted after the occlusion of a single edge in networks with a hierarchy in edge conductivities. We find that in 2D networks, vessels formed by highly conductive edges serve as barriers to contain the displacement of flow due to a localized perturbation. In this way, the vein provides shielding from damage to surrounding edges. We show that once the conductivity of the vein surpasses an initial minimal value, further increasing the conductivity can no longer extend the shielding provided by the vein. Rather, the length scale of the shielding is set by the network topology. Upon understanding the effects of a single vein, we investigate the global resilience of networks with complex hierarchical order. We find that a system of veins arranged in a grid is able to modestly increase the overall network resilience, outperforming a parallel vein pattern.