Year: 2020
Type: preprint
Abstract: Flow networks are essential for both living organisms and enginneered systems. These networks often present complex dynamics controlled, at least in part, by their topology. Previous works have shown that topologically complex networks interconnecting explicitly oscillatory or excitable elements can display rich emerging dynamics. Here we present a model for complex flow networks with non-linear conductance that allows for internal accumulation/depletion of volume, without any inherent oscillatory or excitable behavior at the nodes. 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. The frequency of these waves depends strongly on the network architecture and it can be explained with a topological metric.
Source: arXiv (Cornell University)
Authors: Ruiz-Garcia, Miguel, Katifori, Eleni
Institution: University of Pennsylvania
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: G1051554911, G1199548893, G1461678227, G155958390, G161749047, Materials Research Science and Engineering Center, G2567800894, G4481177325, The hydraulic legacy of C4 evolution in the grasses: Phylogenetic, physiological and genetic controls on water transport, G584641232, G643866923, CAREER: Flow, Failure, fluctuations and the Topology of Vascular Networks, G7125181322, G8462811210, Science and Technology Center for Engineering Mechano-Biology
OpenAlex ID: W3000395850