Information transmission and signal permutation in active flow networks

  title={Information transmission and signal permutation in active flow networks},
  author={Francis G. Woodhouse and Joanna B. Fawcett and J{\"o}rn Dunkel},
  journal={New Journal of Physics},
Recent experiments show that both natural and artificial microswimmers in narrow channel-like geometries will self-organise to form steady, directed flows. This suggests that networks of flowing active matter could function as novel autonomous microfluidic devices. However, little is known about how information propagates through these far-from-equilibrium systems. Through a mathematical analogy with spin-ice vertex models, we investigate here the input–output characteristics of generic… 

Cryptographic hashing using chaotic hydrodynamics

  • W. Gilpin
  • Computer Science
    Proceedings of the National Academy of Sciences
  • 2018
It is shown that chaotic stirring of a viscous fluid naturally produces a characteristic signature of the stirring process in the arrangement of particles in the fluid, and that this signature directly satisfies the requirements for a cryptographic hash function.

Focus on Active Colloids and Nanoparticles

The concept of ‘active matter’ has seen a tremendous development in recent years. Its constituents, ranging from birds to cells to phoretic particles and molecular motors, constantly convert



Stochastic cycle selection in active flow networks

This work develops a generic foundational understanding of mass-conserving active flow networks by merging previously disparate concepts from mathematical graph theory and physicochemical reaction rate theory to understand how topology controls dynamics in a generic model for actively driven flow on a network.

Mode Selection in Compressible Active Flow Networks.

An analytically tractable nonlinear model for compressible active flow networks is introduced and it is found that active friction selects discrete states with a limited number of oscillation modes activated at distinct fixed amplitudes.

Active matter logic for autonomous microfluidics

This work lays the conceptual foundation for developing autonomous microfluidic transport devices driven by bacterial fluids, active liquid crystals or chemically engineered motile colloids through the synchronized self-organization of many individual network components.

Transition from turbulent to coherent flows in confined three-dimensional active fluids

It is demonstrated that 3D confinements and boundaries robustly transform turbulent-like dynamics of bulk active fluids into self-organized coherent macroscopic flows that persist on length scales ranging from micrometers to meters and time scales of hours.

Spontaneous motion in hierarchically assembled active matter

These observations exemplify how assemblages of animate microscopic objects exhibit collective biomimetic properties that are very different from those found in materials assembled from inanimate building blocks, challenging us to develop a theoretical framework that would allow for a systematic engineering of their far-from-equilibrium material properties.

Directed collective motion of bacteria under channel confinement

Dense suspensions of swimming bacteria are known to exhibit collective behaviour arising from the interplay of steric and hydrodynamic interactions. Unconfined suspensions exhibit transient,

Microfluidic Bubble Logic

B bubble logic AND/OR/NOT gates, a toggle flip-flop, a ripple counter, timing restoration, a ring oscillator, and an electro–bubble modulator are demonstrated to show the nonlinearity, gain, bistability, synchronization, cascadability, feedback, and programmability required for scalable universal computation.

Pattern recognition with “materials that compute”

Using theoretical and computational modeling, a hybrid material system that can autonomously transduce chemical, mechanical, and electrical energy to perform a computational task in a self-organized manner, without the need for external electrical power sources is designed.

Coding/Decoding and Reversibility of Droplet Trains in Microfluidic Networks

The encoding/decoding device is a functional microfluidic system that requires droplets to navigate a network in a precise manner without the use of valves, switches, or other means of external control.

Parallel computation with molecular-motor-propelled agents in nanofabricated networks

The foundations of an alternative parallel-computation system in which a given combinatorial problem is encoded into a graphical, modular network that is embedded in a nanofabricated planar device are reported, potentially leading to a new way to tackle difficult mathematical problems.