Biological flow networks: Antagonism between hydrodynamic and metabolic stimuli as driver of topological transitions

Kramer, Felix; Modes, Carl D.

doi:10.1103/physrevresearch.5.023106

Phys. Rev. Research

2023

DOI: 10.1103/physrevresearch.5.023106

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Biological flow networks: Antagonism between hydrodynamic and metabolic stimuli as driver of topological transitions

Felix Kramer

Carl D. Modes

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Cited by 3 publications

References 49 publications

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The fluidic memristor as a collective phenomenon in elastohydrodynamic networks

Martínez-Calvo,

Biviano,

Christensen

et al. 2024

Nat Commun

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Fluid flow networks are ubiquitous and can be found in a broad range of contexts, from human-made systems such as water supply networks to living systems like animal and plant vasculature. In many cases, the elements forming these networks exhibit a highly non-linear pressure-flow relationship. Although we understand how these elements work individually, their collective behavior remains poorly understood. In this work, we combine experiments, theory, and numerical simulations to understand the main mechanisms underlying the collective behavior of soft flow networks with elements that exhibit negative differential resistance. Strikingly, our theoretical analysis and experiments reveal that a minimal network of nonlinear resistors, which we have termed a ‘fluidic memristor’, displays history-dependent resistance. This new class of element can be understood as a collection of hysteresis loops that allows this fluidic system to store information, and it can be directly used as a tunable resistor in fluidic setups. Our results provide insights that can inform other applications of fluid flow networks in soft materials science, biomedical settings, and soft robotics, and may also motivate new understanding of the flow networks involved in animal and plant physiology.

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The fluidic memristor as a collective phenomenon in elastohydrodynamic networks

Martínez-Calvo,

Biviano,

Christensen

et al. 2024

Nat Commun

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Ensnarled: Topological linkage of spatially embedded network pairs

Kramer,

Modes

2023

Phys. Rev. Research

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Wireless Body Area Nanonetworks via Vascular Molecular Communication

Kianfar,

Azadi,

Abouei

et al. 2024

IEEE Trans.on Nanobioscience

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Biological flow networks: Antagonism between hydrodynamic and metabolic stimuli as driver of topological transitions

Cited by 3 publications

References 49 publications

The fluidic memristor as a collective phenomenon in elastohydrodynamic networks

The fluidic memristor as a collective phenomenon in elastohydrodynamic networks

Ensnarled: Topological linkage of spatially embedded network pairs

Wireless Body Area Nanonetworks via Vascular Molecular Communication

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