Self-assembly of active colloids

cosmos 24th November 2017 at 5:20pm
Active matter Self-assembly

Active colloid, Self-assembly, Collective behaviour of active colloids

Self-assembly of active colloidal molecules with dynamic function

Self-Assembly of Catalytically Active Colloidal Molecules: Tailoring Activity Through Surface Chemistry online

While individual colloids that are symmetrically coated do not exhibit any form of dynamical activity, the concentration fields resulting from their chemical activity decay as 1/r and produce gradients that attract or repel other colloids depending on their surface chemistry and ambient variables. This results in a nonequilibrium analog of ionic systems, but with the remarkable novel feature of action-reaction symmetry breaking.

Effective phoretic interactions

See Collective behaviour of active colloids for further derivations of similar effective interactions between active colloids.

The effective interaction, in the far field regime turns out to be analogous to the Coulomb interaction with generalized charges, that break action-reaction symmetry. In particular, we differentiate between the charge that produces the field, α , and the charge that responds to the field, μ .

Model and simulation: There is a highly successful and widely used restricted primitive model (RPM) for charged colloid based on Coulomb interactions augmented with short-range steric repulsion between the particles. A generalization is done to the nonequilibrium active colloids, and the model is analyzed using Brownian dynamics simulations, to explore novel phenomena in this system.

Periodic boundary conditions are used, and interactions are treated using the minimal image convention (what is this?)

Approximations

for simplicity, use a model in which the catalytic activities of the colloids are simplified into net production or consumption of chemicals with given rates. They also assume the substrate concentration is constant within the time of their simulations, which is a good approximation in the dilute limit.

we do not consider the anomalous superdiffusion at relatively short time scales

In the studied experimental systems, the Peclet number is small (Peclet number is Pe=Vσ/D\text{Pe} = V \sigma /D, where VV is the velocity of colloid, σ\sigma is its diameter, and DD is the diffusion coefficient of the solute molecules). This means that the solute concentration profile relaxes very quickly to a comoving cloud when a colloidal particle moves. At finite Pe\text{Pe}, the cloud is distorted. This also mean that we can ignore the spontaneous symmetry breaking (spontaneous autophoretic motion of isotropic particles) at large Pe\text{Pe}.

Concentration fields are assumed to be far-field. Near-field fields would have to be calculated by solving the diffusion equation, and the resulting forces will in general not be pairwise additive. However, the forces retain the action-reaction asymmetry, and will only affect the dynamics quantitatively.

Hydrodynamic interactions are ignored, but their effect would just change the dynamics quantitatively (and not qualitatively). See more details of the model here. For the results they use to estimate the effect of hydrodynamic interactions see Hydrodynamic simulations of self-phoretic microswimmers

Brownian dynamic simulation is done so that the colloids are constrained to move in 2D (while the diffusing particles diffuse in 3D, so the concentration still decays as 1/r1/r).

Non-equilibrium effects

When the effective interactions between the particles are not symmetric, the system cannot reach an equilibrium state because the condition of detailed balance will not be fulfilled. This can manifest itself in the form of frustration that leads to nonequilibrium fluxes. This also mean that the long time behaviour may include limit cycles (oscillatory instability see below).

Cluster with oscillatory instability

The internal dynamics of quasi-stable (for small perturbations) clusters for the case of two kinds of particles (A and B) can be analyzed using d'Alembert's principle (see their Appendix). A Hopf bifurcation can take place (where the parameters are the charges of the two kinds of particles), so that in a certain regime a stable limit cycle forms. This is the oscillatory instability. This is demonstrated in the A4B8 colloidal molecule.

What symmetry makes the second harmonic absent? Probably some dynamical symmetry

Cluster with run-and-tumble behaviour

In the AB3 molecule one finds that in many parameter regimes, there are two stable configurations, and the system stochastically jumps between the two. One of the configurations has the B colloids symmetrically placed around the A, while in the other they are asymmetrical, causing (due to the asymmetry of the forces of the colloids in the fluid) a net self-propelling velocity.

The motion of the internal degrees of freedom is again derived using d'Alembert's principle. There is an angle variable which is cyclic, due to rotational invariance, and gives a conservation law. The other two angles follow a set of coupled ODEs which have equilibria corresponding to the stable configurations.

By simplifying the dynamics to the line where the two angles are equal (because both equilibria lie on it), one can obtain a single-variable Langevin equation and a corresponding Fokker-Planck equation to study the probability distribution of the system, which can be used to find, for instance, how much time is spent on run vs tumble behaviour. This was measured from the Brownian dynamics simulations. The residence times in the run-and-tumble phases exhibit an exponential dependence on the value of μ~A\tilde{\mu}_A. The measured behaviours are consistent with what we expect from Kramers’s first-passage time theory

D'Alembert's principle in overdamped dynamics


William Poon. Painting with bacteria. Reconfigurable acive manufacuring with light-controlled bacteria