Tyler N. Shendruk’s research while affiliated with Scottish Universities Physics Alliance and other places

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Publications (70)


FIG. 1. Storage moduli G ′ (closed circles) and loss moduli G ′′ (open squares) with oscillation amplitude Ax/Ly = 5% (SAOS regime) for ρ = 0.5 and different activities Pea = 0 (blue), 42 (green) and 120 (red). Dashed and straight lines are visual guides to show the expected maxwell scaling of ω 1 and ω 2 .
FIG. 2. Dimensionless crossover frequency Pe † s for storage G ′ and loss G ′′ moduli shown in Fig. 1 as a function of dimensionless activity Pea at density ρ = 0.5 for oscillation amplitude Ax/Ly = 5% (SAOS regime). Shaded area represents the MIPS phase separation boundary of the state diagram (see SI [51]). Insets: Snapshots of the system for the colored point at different activities.
FIG. 3. Effective viscosity η as a function of the dimensionless frequency Pes with oscillation amplitude Ax/Ly = 5% (SAOS regime) for density ρ = 0.5 and different activities: Pea = 0 (blue), 42 (green) and 120 (red). All data points computed from Fig. 1 using Eq. 7. Inset: Zero-shear limit of effective viscosity η0 = limPe s→0 η as a function of the activity. Colored points follows same color code as in Fig. 2
FIG. 4. (a) Average out-of-diagonal stress component ⟨σxy⟩ for simulations with constant shearing as a function of dimensionless shear rate Pes for density ρ = 0.5 and dimensionless activities Pea=6 (blue), 42 (green), 66 (orange) and 120 (red). (b) Power law exponents for the curves shown in panel (a) as a function of dimensionless activity Pea for ρ = 0.5. Inset: The dependency of the exponent n on density ρ for Pea = 120.
MIPS is a Maxwell fluid with an extended and non-monotonic crossover
  • Preprint
  • File available

April 2025

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12 Reads

José Martín-Roca

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Chantal Valeriani

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Kristian Thijssen

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[...]

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Angelo Cacciuto

Understanding the mechanical properties of active suspensions is crucial for their potential applications in materials engineering. Among the various phenomena in active matter that have no analogue in equilibrium systems, motility-induced phase separation (MIPS) in active colloidal suspensions is one of the most extensively studied. However, the mechanical properties of this fundamental active state of matter remain poorly understood. This study investigates the rheology of a suspension of active colloidal particles under constant and oscillatory shear. Systems consisting of pseudo-hard active Brownian particles exhibiting co-existence of dense and dilute phases behave as a viscoelastic Maxwell fluid at low and high frequencies, displaying exclusively shear thinning across a wide range of densities and activities. Remarkably, the cross-over point between the storage and loss moduli is non-monotonic, rising with activity before the MIPS transition but falling with activity after the transition, revealing the subtleties of how active forces and intrinsically out-of-equilibrium phases affect the mechanical properties of these systems.

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Topological kicks enhance colloidal diffusivity in topological turbulence

March 2025

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21 Reads

Colloidal inclusions in nematic fluids induce topological defects that govern their dynamics. These defects create well-understood rheological behavior in passive nematics, but the interplay between colloid-associated defects and spontaneously generated activity-induced defects introduces new dynamical regimes in active nematic turbulence. Using mesoscale simulations, we study the motion of colloids with strong anchoring in an active nematic and find effective colloid diffusivity exhibits a striking non-monotonic dependence on activity. At low activities, topological kicks from the motile activity-induced bulk defects drive frequent rearrangements of the colloid-associated defects, enhancing colloidal transport. At high activity, defect interactions become isotropic, decorrelating colloidal motion and reducing the effective diffusivity. Our results reveal how the competition between colloid-associated and activity-induced defects fundamentally shapes transport in active nematics.


FIG. 1. Snapshot of a polymer in active nematic turbulence. The polymer consists of í µí± = 60 navy monomers. The director is shown as silver lines and the flow field as blue vectors. Defects are depicted in ruby (+1/2) and amber (−1/2). The average distance between defects is the active length scale í µí±™ í µí±Ž . The active time scale í µí¼ í µí±Ž is represented as the inverse of vorticity. The motile +1/2 defect speed is characterized as í µí±£ í µí±Ž = í µí±™ í µí±Ž /í µí¼ í µí±Ž . Activity is í µí¼ = 0.08 and system size is í µí°¿ = 80. Inset Polymer center of mass and gyration radius í µí± í µí±” .
FIG. 2. Mean-squared displacement (MSD) of the polymers' center of mass. (a), (b) Representative center-of-mass trajectories of a polymer consisting of í µí± = 50 monomers of size í µí¼Ž, color-coded by time í µí±¡ 0 . (a) Trajectory without activity (í µí¼ = 0) and (b) with activity (í µí¼ = 0.08). Inset A zoomed-in view of the trajectory and polymer conformation and the instantaneous gyration radius í µí± í µí±” . (c) The MSD í µí»¿í µí±Ÿ 2 of the examples from (a)-(b) as a function of lag time í µí»¿í µí±¡, averaged over 40 realizations and longer times. The passive case (í µí¼ = 0) exhibits long-time diffusive behavior í µí»¿í µí±Ÿ 2 ∼ í µí»¿í µí±¡. The active case (í µí¼ = 0.08) shows a short-time propulsive regime í µí»¿í µí±Ÿ 2 ∼ í µí»¿í µí±¡ 2 , followed by effective diffusive behavior at times longer than the persistence time í µí¼ p . (d) The center-of-mass speed í µí±£ of polymers with í µí± monomers. (e) Persistence time of advection by the flow. (f) Effective diffusion coefficients í µí°· e normalized by thermal diffusivity í µí°· 0 .
FIG. 8. Scaling of the Péclet number. Same as Fig. 7 but the Péclet number Pe = í µí±£í µí± í µí±” D í µí± uses the 2D thermal diffusivity D −1 í µí±
Scaling laws for passive polymer dynamics in active turbulence

March 2025

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34 Reads

Biological systems commonly combine intrinsically out-of-equilibrium active components with passive polymeric inclusions to produce unique material properties. To explore these composite systems, idealized models - such as polymers in active fluids - are essential to develop a predictive theoretical framework. We simulate a single, freely jointed passive chain in two-dimensional active turbulence. Active flows advect the polymer, producing a substantially enhanced diffusivity. Our results reveal that the dimensionless diffusivity obeys scaling laws governed by the P\'eclet, Weissenberg, and Ericksen numbers, which paves the way for designing active/polymeric hybrid materials with predictable properties that differ significantly from those of nondeformable inclusions.


Topology controls flow patterns in active double emulsions

February 2025

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61 Reads

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3 Citations

Active emulsions and liquid crystalline shells are intriguing and experimentally realisable types of topological matter. Here we numerically study the morphology and spatiotemporal dynamics of a double emulsion, where one or two passive small droplets are embedded in a larger active droplet. We find activity introduces a variety of rich and nontrivial nonequilibrium states in the system. First, a double emulsion with a single active droplet becomes self-motile, and there is a transition between translational and rotational motion: both of these regimes remain defect-free, hence topologically trivial. Second, a pair of particles nucleate one or more disclination loops, with conformational dynamics resembling a rotor or chaotic oscillator, accessed by tuning activity. In the first state a single, topologically charged, disclination loop powers the rotation. In the latter state, this disclination stretches and writhes in 3D, continuously undergoing recombination to yield an example of an active living polymer. These emulsions can be self-assembled in the lab, and provide a pathway to form flow and topological patterns in active matter in a controlled way, as opposed to bulk systems that typically yield active turbulence.


Multiparticle collision framework for active polar fluids

January 2025

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29 Reads

PHYSICAL REVIEW E

Sufficiently dense intrinsically out-of-equilibrium suspensions, such as those observed in biological systems, can be modeled as active fluids characterized by their orientational symmetry. While mesoscale numerical approaches to active nematic fluids have been developed, polar fluids are simulated as either ensembles of microscopic self-propelled particles or continuous hydrodynamic-scale equations of motion. To better simulate active polar fluids in complex geometries or as a solvent for suspensions, mesoscale numerical approaches are needed. In this work, the coarse-graining multiparticle collision dynamics (MPCD) framework is applied to three active particle models to produce mesoscale simulations of polar active fluids. The first active-polar MPCD (AP-MPCD) is a variant of the Vicsek model, while the second and third variants allow the speed of the particles to relax towards a self-propulsion speed subject to Andersen and Langevin thermostats, respectively. Each of these AP-MPCD variants exhibits a flocking transition at a critical activity and banding in the vicinity of the transition point. We leverage the mesoscale nature of AP-MPCD to explore flocking in the presence of external fields, which destroys banding, and anisotropic obstacles, which act as a ratchet that biases the flocking direction. These results demonstrate the capacity of AP-MPCD to capture the known phenomenology of polar active suspensions and its versatility to study active polar fluids in complex scenarios. Published by the American Physical Society 2025


Multi-Particle Collision Framework for Active Polar Fluids

January 2025

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26 Reads

Sufficiently dense intrinsically out-of-equilibrium suspensions, such as those observed in biological systems, can be modelled as active fluids characterised by their orientational symmetry. While mesoscale numerical approaches to active nematic fluids have been developed, polar fluids are simulated as either ensembles of microscopic self-propelled particles or continuous hydrodynamic-scale equations of motion. To better simulate active polar fluids in complex geometries or as a solvent for suspensions, mesoscale numerical approaches are needed. In this work, the coarse-graining Multi-Particle Collision Dynamics (MPCD) framework is applied to three active particle models to produce mesoscale simulations of polar active fluids. The first active-polar MPCD (AP-MPCD) is a variant of the Vicsek model, while the second and third variants allow the speed of the particles to relax towards a self-propulsion speed subject to Andersen and Langevin thermostats, respectively. Each of these AP-MPCD variants exhibit a flocking transition at a critical activity and banding in the vicinity of the transition point. We leverage the mesoscale nature of AP-MPCD to explore flocking in the presence of external fields, which destroys banding, and anisotropic obstacles, which act as a ratchet that biases the flocking direction. These results demonstrate the capacity of AP-MPCD to capture the known phenomenology of polar active suspensions, and its versatility to study active polar fluids in complex scenarios.


Majorana quasiparticles and topological phases in 3D active nematics

December 2024

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33 Reads

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4 Citations

Proceedings of the National Academy of Sciences

Quasiparticles are low-energy excitations with important roles in condensed matter physics. An intriguing example is provided by Majorana quasiparticles, which are equivalent to their antiparticles. Despite being implicated in neutrino oscillations and topological superconductivity, their experimental realizations remain very rare. Here, we propose a purely classical realization of Majorana fermions in terms of three-dimensional disclination lines in active nematics. The underlying reason is the well-known equivalence, in 3D, between a + 1 / 2 local defect profile and a − 1 / 2 profile, which acts as its antiparticle. The mapping also requires proving that defect profiles transform as spinors, and activity is needed to overcome the elastic cost associated with these excitations, so they spontaneously appear in steady state. We combine topological considerations and numerics to show that active nematics under confinement spontaneously create in their interior topologically charged disclination lines and loops, akin to Majorana quasiparticles with finite momentum. Within a long channel, the phenomenology we observe resembles that of the Kitaev chain, as Majorana-like states appear near the boundaries, while a delocalized topological excitation arises in the form of a chiral disclination line. The analogy between 3D nematic defects and topological quasiparticles further suggests that active turbulence can be viewed as a topological phase, where defects percolate to form delocalized topological quasiparticles similar to those observed in the channel. We propose that three-dimensional active disclinations can be used to probe the physics of Majorana spinors at much larger scale than that for which they were originally introduced, potentially facilitating their experimental study.



Fig. 1 Schematic diagram of the corrugated channel used in the simulations: A and Λ are amplitude and wavelength of the corrugations, respectively, L is the length, W is the mean width, W min is the minimum width and W max is the maximum width of the channel. The boxed equations in the figure describe the geometry of the top and bottom wall of the channel.
Fig. 2 Spontaneous flow transition in a flat-walled channel characterized by change in root-mean-squared (RMS) velocity V rms as a function of (a) activity α for W = 20 and (b) channel width W for various activities. (c) The critical width W c plotted as a function of activity for a flat-walled channel. (d) Plot of V rms /α 1/2 as a function of the reduced distance from the critical point (W −W c )/W c for various activities, collapsing the data reported in figure (b) into a single curve.
Fig. 3 Snapshots of the flow field (left column), director field (middle column) and active forcing (right column) in flat and corrugated channels at lower (α < α c ) and higher (α > α c ) activity. In the left column, the flow field is shown, which is represented by streamlines superimposed on the vorticity of the fluid. The colorbar is shown at the bottom with blue and red representing clockwise and anticlockwise rotation respectively. In the middle column, the director field is shown by black dashed line color shaded by scalar order parameter. In the right column, the active force is illustrated by black arrows and are color coded by the magnitude of the force. Figures (a)-(f) correspond to low activity and figures (g)-(l) correspond to higher activity at which coherent flows prevail. All channels have a width of W = 20 and corrugated channels have amplitude of A = 3 and wavelength Λ = 20. For the flat-walled channel α c = 0.015; the cases of low and high activity correspond to α = 0.009 and α = 0.017 respectively. For the corrugated channel α c = 0.019; the cases of low and high activity correspond to α = 0.017 and α = 0.023 respectively.
Fig. 4 An enlarged view of the director field in the corrugated channel (a) below critical value α < α c from Fig. 3(e) and (b) above the critical value α > α c from Fig. 3(k). The red dashed lines represent the bend like deformation and the blue arrows point in the direction of the active forcing and subsequent fluid flow.
Active nematics in corrugated channels

October 2024

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24 Reads

Active nematic fluids exhibit complex dynamics in both bulk and in simple confining geometries. However, complex confining geometries could have substantial impact on active spontaneous flows. Using multiparticle collision dynamics simulations adapted for active nematic particles, we study the dynamic behaviour of an active nematic fluid confined in a corrugated channel. The transition from a quiescent state to a spontaneous flow state occurs from a weak swirling flow to a strong coherent flow due to the presence of curved-wall induced active flows. We show that active nematic fluid flows in corrugated channels can be understood in two different ways: (i) as the result of an early or delayed flow transition when compared with that in a flat-walled channel of appropriate width and (ii) boundary-induced active flows in the corrugations providing an effective slip velocity to the coherent flows in the bulk. Thus, our work illustrates the crucial role of corrugations of the confining boundary in dictating the flow transition and flow states of active fluids.


Active nematics in corrugated channels

October 2024

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13 Reads

Soft Matter

Active nematic fluids exhibit complex dynamics in both bulk and in simple confining geometries. However, complex confining geometries could have substantial impact on active spontaneous flows. Using multiparticle collision dynamics simulations adapted for active nematic particles, we study the dynamic behaviour of an active nematic fluid confined in a corrugated channel. The transition from a quiescent state to a spontaneous flow state occurs from a weak swirling flow to a strong coherent flow due to the presence of curved-wall induced active flows. We show that the active nematic fluid flows in corrugated channels can be understood in two different ways: (i) as the result of an early or delayed flow transition when compared with that in a flat-walled channel of appropriate width and (ii) boundary-induced active flows in the corrugations providing an effective slip velocity to the coherent flows in the bulk. Thus, our work illustrates the crucial role of corrugations of the confining boundary in dictating the flow transition and flow states of active fluids.


Citations (36)


... While active droplets suspended in passive fluids [42][43][44][45][46][47][48][49][50][51] and colloidal suspensions in passive liquid crystals [52][53][54][55][56][57][58] have been extensively studied, the case of passive inclusions suspended in active nematics has received far less attention. Recent research demonstrated that a single passive inclusion suspended in an active nematic exhibits anomalous diffusivity, deviating significantly from Brownian motion due to the interaction between bulk defects and the inclusion-induced nematic deformations [26,59]. ...

Reference:

Activity drives self-assembly of passive soft inclusions in active nematics
Topology controls flow patterns in active double emulsions

... These interactions drive various self-assembled configurations, including linear chains of colloids [36,37], particle aggregates [38,39], defect-stabilized colloidal gels [40]. Recent studies suggest that activity can overcome energy barriers and render certain excitations effectively gapless [41]. This opens intriguing possibilities for designing new classes of topological soft materials, where active forces could be harnessed to reshape defect landscapes and guide structure formation beyond equilibrium constraints. ...

Majorana quasiparticles and topological phases in 3D active nematics
  • Citing Article
  • December 2024

Proceedings of the National Academy of Sciences

... The coarse-grained mesoscale simulation technique Multi-Particle Collision Dynamics (MPCD; § SI) is used to model the orientational fluid in the limit of a oneviscosity and one-elastic constant approximation, K [39]. This approach has been employed to simulate polymernematic mixtures [40] and colloidal liquid crystals [20]. A strongly anchored colloid in a passive nematic induces a pair of nearby −1/2 defects (Fig. 1a.i). ...

Dynamics of polymers in coarse-grained nematic solvents

Soft Matter

... While active droplets suspended in passive fluids [42][43][44][45][46][47][48][49][50][51] and colloidal suspensions in passive liquid crystals [52][53][54][55][56][57][58] have been extensively studied, the case of passive inclusions suspended in active nematics has received far less attention. Recent research demonstrated that a single passive inclusion suspended in an active nematic exhibits anomalous diffusivity, deviating significantly from Brownian motion due to the interaction between bulk defects and the inclusion-induced nematic deformations [26,59]. ...

Entangled nematic disclinations using multi-particle collision dynamics

Soft Matter

... . In this scheme there is a positive feedback between activity and density that can exacerbate density inhomogeneities [114]. Since, density inhomogeneities affects the dynamics of inclusions [115], we have chosen a modulated strength to mitigate activity-induced density fluctuations [114]. ...

Mitigating density fluctuations in particle-based active nematic simulations

... Likewise, particle-based coarse-grained approaches can more easily simulate complex geometries, such as wavy channels [42], funnels [43] or confined swimmers [44], because they can avoid complex meshing methods that are often crucial to solving continuum differential equations in the vicinity of boundaries [45]. However, few mesoscale techniques have been developed for active fluids, despite the importance of understanding the dynamics of passive inclusions embedded in active surroundings [46,47] and active dynamics in complex geometries [48][49][50][51][52][53][54][55][56] for designing material applications for active matter. To better simulate active polar fluids as a background active medium for dynamic mesoscale objects in complex geometries, coarse-grained numerical approaches are needed. ...

Active Darcy’s Law

Physical Review Letters

... While active droplets suspended in passive fluids [42][43][44][45][46][47][48][49][50][51] and colloidal suspensions in passive liquid crystals [52][53][54][55][56][57][58] have been extensively studied, the case of passive inclusions suspended in active nematics has received far less attention. Recent research demonstrated that a single passive inclusion suspended in an active nematic exhibits anomalous diffusivity, deviating significantly from Brownian motion due to the interaction between bulk defects and the inclusion-induced nematic deformations [26,59]. ...

Lock-Key Microfluidics: Simulating Nematic Colloid Advection along Wavy-Walled Channels

Soft Matter

... In contrast, Pst DC3000 had significantly less expansion in the direction of a second Pst DC3000 colony and grows radially without other colonies present. Examples of socially induced motility have been reported in other bacteria including Pseudomonas aeruginosa, Streptomyces venezuelae, and Bacillus subtilis with diverse triggering mechanisms and interacting partners (Jones et al. 2017;Liu et al. 2018;Limoli et al. 2019;Shepherdson and Elliot 2022;Yarrington et al. 2024). Chemotaxis, antibiotic stress, and iron stress have been identified as important factors in the development of these colony expansion phenotypes (Liu et al. 2018;Shepherdson and Elliot 2022;Yarrington et al. 2024). ...

The type IV pilus chemoreceptor PilJ controls chemotaxis of one bacterial species towards another

... By assigning a nematic stress to the particles, the AN-MPCD algorithm simulates the dynamics of active nematic fluids. [48][49][50][51] The AN-MPCD algorithm discretizes the continuum into N point-like particles, each with mass m, position r i , velocity v i and orientation u i . The algorithm comprises two steps: streaming and collision. ...

Mitigating Density Fluctuations in Particle-based Active Nematic Simulations
  • Citing Preprint
  • January 2024

... However, as the rate of energy injection increases, deformations strengthen, accompanied by a corresponding rise in the magnitude of active flows. This drives the system into a chaotic regime known as active turbulence, characterized by the continuous creation and annihilation of topological defects [2,[7][8][9][10][11][12][13][14]. ...

Spontaneous self-constraint in active nematic flows

Nature Physics