### Inhalt des Dokuments

# Statistische Physik weicher Materie und biologischer Systeme

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Die Arbeitsgruppe bearbeitet ein breites Spektrum von Projekten aus den Bereichen der statistischen Physik weicher Materie und biologischer Systeme. Neben Frage- stellungen im thermischen Gleichgewicht werden vor allem Systeme untersucht, die durch externe Felder im Nichtgleichgewicht gehalten werden oder von sich heraus einen Nichtgleichgewichtszustand annehmen, wie zum Beispiel aktive Brownsche Teilchen. Dabei lassen wir uns von hochaktuellen Forschungsgebieten wie der Mikrofluidik und Biofluiddynamik leiten.

Derzeit ist ein Schwerpunkt unserer Forschung die aktive Bewegung in künstlichen und in biologischen Systemen. Dabei geht es um das Verständnis von Design- prinzipen zur Generierung aktiver Bewegung, um deren generische Eigenschaften und um kollektives Verhalten.

Unser Themenspektrum umfasst:

- Weiche Materie: insbes. Flüssigkristalle, kolloidale Dispersionen, (Bio-)Polymere
- Strukturbildung weicher Materie an Grenzflächen
- Weiche Materie und biologische Systeme im Nichtgleichgewicht, Mikrofluidik
- Biofluiddynamik und Fortbewegung von Mikroorganismen, aktive Bewegung
- Biomimetische Materialien und Biomechanik

# Aktuelles

- Seminar im WS 2019/2020: Maschinelles Lernen
in weicher Materie und biologischen Systemen [2]

Einführung am**16. Oktober 2019 im EW731****Bitte melden Sie sich über das SAP-System an.**

- Der
Artikel von Maryam wird im Journal Club for Condensed Matter Physics
[3] besprochen.
- Wir gratulieren Felix Rühle. Seine Masterarbeit wurde von Springer Spektrum zur Veröffentlichung [4] in der Schriftenreihe BestMaster ausgewählt.

- Prof. Stark bietet
folgende
**Prüfungstermine**an:

Freitag,**14.02.2020**Freitag,**13.03.2020****Bitte melden Sie sich direkt über das SAP-System an.**

- Brennpunkt-Artikel im Physik Journal:
**Die Körperform macht's**Holger Stark

Physik Journal [5]

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**Traveling concentration pulses of bacteria
in a generalized Keller–Segel model**

**by Maximilian Seyrich, Andrzej Palugniok, and Holger
Stark**

We formulate a Markovian response theory for the tumble rate of a bacterium moving in a chemical field and use it in the Smoluchowski equation. Based on a multipole expansion for the one-particle distribution function and a reaction-diffusion equation for the chemoattractant field, we derive a polarization extended model, which also includes the recently discovered angle bias. In the adiabatic limit we recover a generalized Keller–Segel equation with diffusion and chemotactic coefficients that depend on the microscopic swimming parameters. Requiring the tumble rate to be positive, our model introduces an upper bound for the chemotactic drift velocity, which is no longer singular as in the original Keller–Segel model. Solving the Keller–Segel equations numerically, we identify traveling bacterial concentration pulses, for which we do not need a second, signaling chemical field nor a singular chemotactic drift velocity as demanded in earlier publications. We present an extensive study of the traveling pulses and demonstrate how their speeds, widths, and heights depend on the microscopic parameters. Most importantly, we discover a maximum number of bacteria that the pulse can sustain—the maximum carrying capacity. Finally, by tuning our parameters, we are able to match the experimental realization of the traveling bacterial pulse.

New J. Phys. **21, **103001 (2019)

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**Chemotaxis in a binary mixture of active
and passive particles**

**by Julian Stürmer , Maximilian Seyrich , and Holger
Stark**

Mixtures of active and passive colloids show an intriguing dynamics
of self-assembling, which is driven by the active component.
Self-phoretic active colloids generate sinks in a chemical
concentration field that cause passive colloids to drift toward active
colloids by diffusiophoresis. The strength of this effective
attraction is governed by the diffusiophoretic parameter, which
determines the drift velocity. Simulating the Langevin dynamics of the
colloids, we determine the state diagram for increasing
diffusiophoretic strength and fixed active velocity. Three main states
are distinguished. For weak attraction, passive particles are first
scattered in the simulation box and then form a colloidal cloud around
its center. Increasing the diffusiophoretic parameter further, passive
particles oscillate between the cloud and a compact cluster, which
embeds active colloids. Ultimately, in the third state, all particles
collapse into a single stable cluster. In the collapse regime, the
clustering dynamics of the largest cluster follows a logistic function
and the mean cluster velocity vs cluster size decays with a power law.
Throughout this article, we discuss our simulation results with regard
to the experiments of Singh et al., Adv. Mater. **29**
(32), 1701328 (2017).

J. Chem. Phys. **150**, 214901 (2019)

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**A flowing pair of particles in inertial
microfluidics**

**by Christian Schaaf, Felix Rühle and Holger
Stark**

A flowing pair of particles in inertial microfluidics gives important insights into understanding and controlling the collective dynamics of particles like cells or droplets in microfluidic devices. They are applied in medical cell analysis and engineering. We study the dynamics of a pair of solid particles flowing through a rectangular microchannel using lattice Boltzmann simulations. We determine the inertial lift force profiles as a function of the two particle positions, their axial distance, and the Reynolds number. Generally, the profiles strongly differ between particles leading and lagging in flow and the lift forces are enhanced due to the presence of a second particle. At small axial distances, they are determined by viscous forces, while inertial forces dominate at large separations. We identify cross-streamline pairs as stable fixed points in the lift force profiles and argue that same-streamline configurations are only one-sided stable. Depending on the initial conditions, the two-particle lift forces in combination with the Poiseuille flow give rise to three types of unbound particle trajectories, called moving-apart, passing, and swapping, and one type of bound trajectory, where the particles perform damped oscillations towards the cross-stream line configuration. The damping rate scales with Reynolds number squared, since inertial forces are responsible for driving the particles to their steady-state positions.

Soft Matter **15**, 1988 (2019)

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**Artificial Chemotaxis of Self-Phoretic
Active Colloids: Collective Behavior**

**by Holger Stark**

Microorganisms use chemotaxis, regulated by internal complex
chemical pathways, to swim along chemical gradients to find better
living conditions. Artificial microswimmers can mimic such a strategy
by a pure physical process called diffusiophoresis, where they drift
and orient along the gradient in a chemical density field. Similarly,
for other forms of taxis in nature such as photo- or thermotaxis the
phoretic counterpart exists.

In this Account,
we concentrate on the chemotaxis of self-phoretic active colloids.
They are driven by self-electro- and diffusiophoresis at the particle
surface and thereby acquire a swimming speed. During this process,
they also produce nonuniform chemical fields in their surroundings
through which they interact with other colloids by translational and
rotational diffusiophoresis. In combination with active motion, this
gives rise to effective phoretic attraction and repulsion and thereby
to diverse emergent collective behavior. A particular appealing
example is dynamic clustering in dilute suspensions first reported by
a group from Lyon. A subtle balance of attraction and repulsion causes
very dynamic clusters, which form and resolve again. This is in stark
contrast to the relatively static clusters of motility-induced phase
separation at larger densities.

To treat
chemotaxis in active colloids confined to a plane, we formulate two
Langevin equations for position and orientation, which include
translational and rotational diffusiophoretic drift velocities. The
colloids are chemical sinks and develop their long-range chemical
profiles instantaneously. For dense packings, we include screening of
the chemical fields. We present a state diagram in the two
diffusiophoretic parameters governing translational, as well as
rotational, drift and, thereby, explore the full range of phoretic
attraction and repulsion. The identified states range from a gaslike
phase over dynamic clustering states 1 and 2, which we distinguish
through their cluster size distributions, to different types of
collapsed states. The latter include a full chemotactic collapse for
translational phoretic attraction. Turning it into an effective
repulsion, with increasing strength first the collapsed cluster starts
to fluctuate at the rim, then oscillates, and ultimately becomes a
static collapsed cloud. We also present a state diagram without
screening. Finally, we summarize how the famous Keller−Segel model
derives from our Langevin equations through a multipole expansion of
the full one-particle distribution function in position and
orientation. The Keller−Segel model gives a continuum equation for
treating chemotaxis of microorganisms on the level of their spatial
density.

Our theory is extensible to mixtures
of active and passive particles and allows to include a dipolar
correction to the chemical field resulting from the dipolar symmetry
of Janus colloids.

Acc. Chem. Res. **51**, 2681 (2018)

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**Elastic turbulence in two-dimensional
Taylor-Couette flows **

**by R. van Buel, C. Schaaf, and H. Stark**

We report the onset of elastic turbulence in a two-dimensional
Taylor-Couette geometry using numerical solutions of the Oldroyd-B
model generated with the program OpenFOAM®. Beyond a critical
Weissenberg number, an elastic instability causes a supercritical
transition from the laminar Taylor-Couette flow to a turbulent flow.
The order parameter, the time average of secondary-flow strength,
follows the scaling law Φ∝ Wi -Wi_{c}^{γ} with Wi_{c}=10 and γ=
0.45 . Additionally, the flow resistance increases beyond Wi_{c} . The temporal power spectra of the velocity
fluctuations show a power-law decay with a characteristic exponent in
the range 2< α < 4 , which strongly depends on the
radial position. The characteristic exponent β for the spatial power
spectra obeys the necessary condition β > 3 , associated with
elastic turbulence, for all Wi > Wi_{c} .

Europhys. Lett. **124,** 14001 (2018)

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**Feedback control of photoresponsive fluid
interfaces**

**by Josua Grawitter and Holger Stark**

Photoresponsive surfactants provide a unique microfluidic driving mechanism. Since they switch between two molecular shapes under illumination and thereby affect surface tension of fluid interfaces, Marangoni flow along the interface occurs. To describe the dynamics of the surfactant mixture at a planar interface, we formulate diffusion–advection–reaction equations for both surfactant densities. They also include adsorption from and desorption into the neighboring fluids and photoisomerization by light. We then study how the interface responds when illuminated by spots of light. Switching on a single light spot, the density of the switched surfactant spreads in time and assumes an exponentially decaying profile in steady state. Simultaneously, the induced radial Marangoni flow reverses its flow direction from inward to outward. We use this feature to set up specific feedback rules, which couple the advection velocities sensed at the light spots to their intensities. As a result two neighboring spots switch on and off alternately. Extending the feedback rule to light spots arranged on the vertices of regular polygons, we observe periodic switching patterns for even-sided polygons, where two sets of next-nearest neighbors alternate with each other. A triangle and pentagon also show regular oscillations, while heptagon and nonagon exhibit irregular oscillations due to frustration. While our findings are specific to the chosen set of parameters, they show how complex patterns at photoresponsive fluid interfaces emerge from simple feedback coupling.

Soft Matter **14**,
1856 (2018)

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**Collective Sedimentation of Squirmers
under Gravity**

**by Jan-Timm Kuhr, Johannes Blaschke, Felix Rühle, and
Holger Stark**

Active particles, which interact hydrodynamically, display a remarkable variety of emergent collective phenomena. We use squirmers to model spherical microswimmers and explore the collective behavior of thousands of them under the influence of strong gravity using the method of multiparticle collision dynamics for simulating fluid flow. The sedimentation profile depends on the ratio of swimming to sedimentation velocity as well as on the squirmer type. It shows close packed squirmer layers at the bottom and a highly dynamic region with exponential density dependence towards the top. The mean vertical orientation of the squirmers strongly depends on height. For swimming velocities larger than the sedimentation velocity, squirmers show strong convection in the exponential region. We quantify the strength of convection and the extent of convection cells by the vertical current density and its current dipole, which are large for neutral squirmers as well as for weak pushers and pullers.

Soft Matter **13**, 7548 (2017)

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**Self-Organized Velocity Pulses of Dense
Colloidal Suspensions in Microchannel Flow**

**by Philipp Kanehl and Holger Stark**

We present a numerical study of dense colloidal suspensions in a pressure-driven microchannel flow in two dimensions. The colloids are modeled as elastic and frictional spheres suspended in a Newtonian fluid, which we simulate using the method of multiparticle collision dynamics. The model reproduces periodic velocity and density pulse trains, traveling upstream in the microchannel, which are found in experiments conducted by Isa et al. [Phys. Rev. Lett. 102, 058302 (2009)]. We show that colloid-wall friction and the resultant force chains are crucial for the formation of these pulses. With an increasing colloid density, first solitary jams occur, which become periodic pulse trains at intermediate densities and unstable solitary pulses at high densities. We formulate a phenomenological continuum model and show how these spatiotemporal flow and density profiles can be understood as homoclinic and periodic orbits in travelingwave equations.

Phys. Rev. Lett. **119**, 018002 (2017)

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**Diffusion in systems crowded by active
force-dipole molecules**

**by Matthew Dennison, Raymond Kapral, and Holger
Stark**

Experimental studies of systems containing active proteins that undergo conformational changes driven by catalytic chemical reactions have shown that the diffusion coefficients of passive tracer particles and active molecules are larger than the corresponding values when chemical activity is absent. Various mechanisms have been proposed for such behavior, including, among others, force dipole interactions of molecular motors moving on filaments and collective hydrodynamic effects arising from active proteins. Simulations of a multi-component system containing active dumbbell molecules that cycle between open and closed states, a passive tracer particle and solvent molecules are carried out. Consistent with experiments, it is shown that the diffusion coefficients of both passive particles and the dumbbells themselves are enhanced when the dumbbells are active. The dependence of the diffusion enhancement on the volume fraction of dumbbells is determined, and the effects of crowding by active dumbbell molecules are shown to differ from those due to inactive molecules.

Soft Matter **13**, 3741 (2017)

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**Inertial migration and axial control of
deformable capsules**

**by Christian Schaaf and Holger Stark**

The mechanical deformability of single cells is an important indicator for various diseases such as cancer, blood diseases and inflammation. Lab-on-a-chip devices allow to separate such cells from healthy cells using hydrodynamic forces. We perform hydrodynamic simulations based on the latticeBoltzmann method and study the behavior of an elastic capsule in a microfluidic channel flow in the inertial regime. While inertial lift forces drive the capsule away from the channel center, its deformability favors migration in the opposite direction. Balancing both migration mechanisms, a deformable capsule assembles at a specific equilibrium distance depending on its size and deformability. We find that this equilibrium distance is nearly independent of the channel Reynolds number and falls on a single master curve when plotted versus the Laplace number. We identify a similar master curve for varying particle radius. In contrast, the actual deformation of a capsule strongly depends on the Reynolds number. The lift-force profiles behave in a similar manner as those for rigid particles. Using the Saffman effect, the capsule’s equilibrium position can be controlled by an external force along the channel axis. While rigid particles move to the center when slowed down, very soft capsules show the opposite behavior. Interestingly, for a specific control force particles are focused on the same equilibrium position independent of their deformability.

Soft Matter **13**, 3544 (2017)

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**Active Brownian particles moving in a
random Lorentz gas**

**by Maria Zeitz, Katrin Wolff, and Holger
Stark**

Biological microswimmers often inhabit a porous or crowded environment such as soil. In order to understand how such a complex environment influences their spreading, we numerically study noninteracting active Brownian particles (ABPs) in a two-dimensional random Lorentz gas. Close to the percolation transition in the Lorentz gas, they perform the same subdiffusive motion as ballistic and diffusive particles. However, due to their persistent motion they reach their long-time dynamics faster than passive particles and also show superdiffusive motion at intermediate times. While above the critical obstacle density ηc the ABPs are trapped, their long-time diffusion below ηc is strongly influenced by the propulsion speed v0. With increasing v0, ABPs are stuck at the obstacles for longer times. Thus, for large propulsion speed, the long-time diffusion constant decreases more strongly in a denser obstacle environment than for passive particles. This agrees with the behavior of an effective swimming velocity and persistence time, which we extract from the velocity autocorrelation function.

Eur. Phys. J. E **40**, 23 (2017)

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**Inferring the Chemotactic
Strategy of P. putida and E. coli Using Modified
Kramers-Moyal Coefficients**

**by Oliver Pohl , Marius Hintsche, Zahra Alirezaeizanjani,
Maximilian Seyrich, Carsten Beta, and Holger Stark**

Many bacteria perform a run-and-tumble random walk to explore their
surrounding and to perform chemotaxis. In this article we present a
novel method to infer the relevant parameters of bacterial motion from
experimental trajectories including the tumbling events. We introduce
a stochastic model for the orientation angle, where a shot-noise
process initiates tumbles, and analytically calculate conditional
moments, reminiscent of Kramers-Moyal coefficients. Matching them with
the moments calculated from experimental trajectories of the bacteria
*E. coli* and *Pseudomonas putida*, we are able to infer
their respective tumble rates, the rotational diffusion constants, and
the distributions of tumble angles in good agreement with results from
conventional tumble recognizers. We also define a novel tumble
recognizer, which explicitly quantifies the error in recognizing
tumbles. In the presence of a chemical gradient we condition the
moments on the bacterial direction of motion and thereby explore the
chemotaxis strategy. For both bacteria we recover and quantify the
classical chemotactic strategy, where the tumble rate is smallest
along the chemical gradient. In addition, for *E. coli* we
detect some cells, which bias their mean tumble angle towards smaller
values. Our findings are supported by a scaling analysis of
appropriate ratios of conditional moments, which are directly
calculated from experimental data.

PLoS Comp. Biol. **13**, 1 (2017)

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**Phase separation and coexistence
of ****hydrodynamically interacting
microswimmers**

**by Johannes Blaschke, Maurice Maurer, Karthik Menon,
Andreas Zöttl, and Holger Stark**

A striking feature of the collective behavior of spherical microswimmers is that for sufficiently strong self-propulsion they phase-separate into a dense cluster coexisting with a low-density disordered surrounding. Extending our previous work, we use the squirmer as a model swimmer and the particle- based simulation method of multi-particle collision dynamics to explore the influence of hydrodynamics on their phase behavior in a quasi-two-dimensional geometry. The coarsening dynamics towards the phase-separated state is diffusive in an intermediate time regime followed by a final ballistic compactification of the dense cluster. We determine the binodal lines in a phase diagram of Péclet number versus density. Interestingly, the gas binodals are shifted to smaller densities for increasing mean density or dense-cluster size, which we explain using a recently introduced pressure balance [S. C. Takatori, et al., Phys. Rev. Lett. 2014, 113, 028103] extended by a hydrodynamic contribution. Furthermore, we find that for pushers and pullers the binodal line is shifted to larger Péclet numbers compared to neutral squirmers. Finally, when lowering the Péclet number, the dense phase transforms from a hexagonal ‘‘solid’’ to a disordered ‘‘fluid’’ state.

Soft Matter **12**, 9821 (2016)

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**Active Brownian particles and
run-and-tumble particles separate inside a maze**

**by Maryam Khatami, Katrin Wolff, Oliver Pohl, Mohammad Reza
Ejtehadi, and Holger Stark**

A diverse range of natural and artificial self-propelled particles are known and are used nowadays. Among them, active Brownian particles (ABPs) and run-and-tumble particles (RTPs) are two important classes. We numerically study non-interacting ABPs and RTPs strongly confined to different maze geometries in two dimensions. We demonstrate that by means of geometrical confinement alone, ABPs are separable from RTPs. By investigating Matryoshka-like mazes with nested shells, we show that a circular maze has the best filtration efficiency. Results on the mean first-passage time reveal that ABPs escape faster from the center of the maze, while RTPs reach the center from the rim more easily. According to our simulations and a rate theory, which we developed, ABPs in steady state accumulate in the outermost region of the Matryoshka-like mazes, while RTPs occupy all locations within the maze with nearly equal probability. These results suggest a novel technique for separating different types of self-propelled particles by designing appropriate confining geometries without using chemical or biological agents.

Sci. Rep. **6**, 37670 (2016)

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**Taylor line swimming in microchannels and
cubic lattices of obstacles**

**by Jan L. Münch, Davod Alizadehrad, Sujin B. Babu, and
Holger Stark**

Microorganisms naturally move in microstructured fluids. Using the simulation method of multi-particle collision dynamics, we study in two dimensions an undulatory Taylor line swimming in a microchannel and in a cubic lattice of obstacles, which represent simple forms of a microstructured environment. In the microchannel the Taylor line swims at an acute angle along a channel wall with a clearly enhanced swimming speed due to hydrodynamic interactions with the bounding wall. While in a dilute obstacle lattice swimming speed is also enhanced, a dense obstacle lattice gives rise to geometric swimming. This new type of swimming is characterized by a drastically increased swimming speed. Since the Taylor line has to fit into the free space of the obstacle lattice, the swimming speed is close to the phase velocity of the bending wave traveling along the Taylor line. While adjusting its swimming motion within the lattice, the Taylor line chooses a specific swimming direction, which we classify by a lattice vector. When plotting the swimming velocity versus the magnitude of the lattice vector, all our data collapse on a single master curve. Finally, we also report more complex trajectories within the obstacle lattice.

Soft Matter **12**, 7350 (2016)

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**Active Brownian motion of emulsion
droplets: Coarsening dynamics at the interface and rotational
diffusion**

**by Maximilian Schmitt and Holger Stark**

A micron-sized droplet of bromine water immersed in a surfactant-laden oil phase can swim (S.Thutupalli, R. Seemann, S. Herminghaus, New J. Phys. 13 073021 (2011). The bromine reacts with thesurfactant at the droplet interface and generates a surfactant mixture. It can spontaneously phase-separatedue to solutocapillary Marangoni flow, which propels the droplet. We model the system by a diffusion-advection-reaction equation for the mixture order parameter at the interface including thermal noise andcouple it to fluid flow. Going beyond previous work, we illustrate the coarsening dynamics of the surfactantmixture towards phase separation in the axisymmetric swimming state. Coarsening proceeds in two steps:an initially slow growth of domain size followed by a nearly ballistic regime. On larger time scales thermalfluctuations in the local surfactant composition initiates random changes in the swimming direction andthe droplet performs a persistent random walk, as observed in experiments. Numerical solutions show thatthe rotational correlation time scales with the square of the inverse noise strength. We confirm this scalingby a perturbation theory for the fluctuations in the mixture order parameter and thereby identify theactive emulsion droplet as an active Brownian particle.

Eur. Phys. J. E **39**, 80 (2016)

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**Dynamics of a bacterial flagellum under
reverse rotation**

**by Tapan Chandra Adhyapak and Holger Stark**

To initiate tumbling of an E. coli, one of the helical flagella reverses its sense of rotation. It then transforms from its normal form first to the transient semicoiled state and subsequently to the curly-I state. The dynamics of polymorphism is effectively modeled by describing flagellar elasticity through an extended Kirchhoff free energy. However, the complete landscape of the free energy remains undetermined because the ground state energies of the polymorphic forms are not known. We investigate how variations in these ground state energies affect the dynamics of a reversely rotated flagellum of a swimming bacterium. We find that the flagellum exhibits a number of distinct dynamical states and comprehensively summarize them in a state diagram. As a result, we conclude that tuning the landscape of the extended Kirchhoff free energy alone cannot generate the intermediate full-length semicoiled state. However, our model suggests an ad hoc method to realize the sequence of polymorphic states as observed for a real bacterium. Since the elastic properties of bacterial flagella are similar, our findings can easily be extended to other peritrichous bacteria.

Soft Matter **12**, 5621 (2016)

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**Topical Review: Emergent behavior in
active colloids**

**by Andreas Zöttl and Holger Stark**

Active colloids are microscopic particles, which self-propel through viscous fluids by converting energy extracted from their environment into directed motion. We first explain how artificial microswimmers move forward by generating near-surface flow fields via self-phoresis or the self-induced Marangoni effect. We then discuss generic features of the dynamics of single active colloids in bulk and in confinement, as well as in the presence of gravity, field gradients, and fluid flow. In the third section, we review the emergent collective behavior of active colloidal suspensions, focusing on their structural and dynamic properties. After summarizing experimental observations, we give an overview of the progress in modeling collectively moving active colloids. While active Brownian particles are heavily used to study collective dynamics on large scales, more advanced methods are necessary to explore the importance of hydrodynamic and phoretic particle interactions. Finally, the relevant physical approaches to quantify the emergent collective behavior are presented.

J. Phys.: Condens. Matter **28**, 253001 (2016)

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**Viscoelastic properties of marginal
networks in a solvent**

**by Matthew Dennison and Holger Stark**

Polymer networks at the margins of mechanical stability are known to be highly sensitive to applied forces and fields and to exhibit an anomalously large resistance to deformation. In this paper, we study the effects of hydrodynamic interactions on the behavior of marginal networks using a hybrid molecular dynamics and multiparticle collision dynamics simulation technique. We examine how the filament and solvent properties affect the response of marginal networks to shear. We find that the stiffening of the network shows a stronger dependence on the shear frequency when hydrodynamic interactions are present than when they are not. The network shear modulus scales as G ∼ ωαc , with a critical stiffening exponent αc that can be controlled by varying the relative concentrations of the network and the solvent. Our results show that this arises due to the solvent aiding the relaxation of the network and suppressing the network nonaffinity, with the system deforming more affinely when hydrodynamic interactions are maximized.

Phys. Rev. E **93**, 022605 (2016)

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**Kinetic Monte Carlo Simulations for
Birefringence Relaxation of Photo-Switchable Molecules on a Surface
**

**by Raffaele Tavarone, Patrick Charbonneau, and Holger
Stark**

Recent experiments have demonstrated that in a dense monolayer of photo-switchable dye methyl-red molecules the relaxation of an initial birefringence follows a power-law decay, typical for glass-like dynamics. The slow relaxation can efficiently be controlled and accelerated by illuminating the monolayer with circularly polarized light, which induces trans-cis isomerization cycles. To elucidate the microscopic mechanism, we develop a two-dimensional molecular model in which the trans and cis isomers are represented by straight and bent needles, respectively. As in the experimental system, the needles are allowed to rotate and to form overlaps but they cannot translate. The out-ofequilibrium rotational dynamics of the needles is generated using kinetic Monte Carlo simulations. We demonstrate that, in a regime of high density and low temperature, the power-law relaxation can be traced to the formation of spatio-temporal correlations in the rotational dynamics, i.e., dynamic heterogeneity. We also show that the nearly isotropic cis isomers can prevent dynamic heterogeneity from forming in the monolayer and that the relaxation then becomes exponential.

J. Chem. Phys. **144**, 104703 (2016)

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**Marangoni flow at droplet interfaces:
Three-dimensional solution and applications**

**by Maximilian Schmitt and Holger Stark
**

The Marangoni effect refers to fluid flow induced by a gradient in surface tension at a fluid-fluid interface. We determine the full three-dimensional Marangoni flow generated by a non-uniform surface tension profile at the interface of a self-propelled spherical emulsion droplet. For all flow fields inside, outside, and at the interface of the droplet, we give analytical formulas. We also calculate the droplet velocity vector v_D, which describes the swimming kinematics of the droplet, and generalize the squirmer parameter β, which distinguishes between different swimmer types called neutral, pusher, or puller. In the second part of this paper, we present two illustrative examples, where the Marangoni effect is used in active emulsion droplets. First, we demonstrate how micelle adsorption can spontaneously break the isotropic symmetry of an initially surfactant-free emulsion droplet, which then performs directed motion. Second, we think about light-switchable surfactants and laser light to create a patch with a different surfactant type at the droplet interface. Depending on the setup such as the wavelength of the laser light and the surfactant type in the outer bulk fluid, one can either push droplets along unstable trajectories or pull them along straight or oscillatory trajectories regulated by specific parameters. We explore these cases for strongly absorbing and for transparent droplets.

Phys. Fluids **28**, 012106 (2016)

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**Frequency-dependent selection at rough
expanding fronts**

**by Jan-Timm Kuhr and Holger Stark**

Microbial colonies are experimental model systems for studying the colonization of new territory by biological species through range expansion. We study a generalization of the two-species Eden model, which incorporates local frequency-dependent selection, in order to analyze how social interactions between two species influence surface roughness of growing microbial colonies. The model includes several classical scenarios from game theory. We then concentrate on an expanding public goods game, where either cooperators or defectors take over the front depending on the system parameters. We analyze in detail the critical behavior of the nonequilibrium phase transition between global cooperation and defection and thereby identify a new universality class of phase transitions dealing with absorbing states. At the transition, the number of boundaries separating sectors decays with a novel power law in time and their superdiffusive motion crosses over from Eden scaling to a nearly ballistic regime. In parallel, the width of the front initially obeys Eden roughening and, at later times, passes over to selective roughening.

New J. Phys. **17**, 103035 (2015)

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**Zipping and entanglement in flagellar
bundle of E. coli: Role of motile cell body**

**by Tapan Chandra Adhyapak and Holger
Stark**

The course of a peritrichous bacterium, such as E. coli, crucially depends on the level of synchronization and self-organization of several rotating flagella.However, the rotation of each flagellumgenerates countermovements of the body which in turn affect the flagellar dynamics. Using a detailed numerical model of an E. coli, we demonstrate that flagellar entanglement, besides fluid flow relative to the moving body, dramatically changes the dynamics of flagella from that compared to anchored flagella. In particular, bundle formation occurs through a zipping motion in a remarkably rapid time, affected little by initial flagellar orientation. A simplified analytical model supports our observations. Finally, we illustrate how entanglement, hydrodynamic interactions, and body movement contribute to zipping and bundling.

Phys. Rev. E **92**, 052701 (2015)

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**Phase ordering of zig-zag and bow-shaped
hard needles in two dimensions**

**by Raffaele Tavarone, Patrick Charbonneau, and
Holger Stark**

We perform extensive Monte Carlo simulations of a two-dimensional bent hard-needle model in both its chiral zig-zag and its achiral bow-shape configurations and present their phase diagrams. We find evidence for a variety of stable phases: isotropic, quasi-nematic, smectic-C, anti-ferromorphic smectic-A, and modulated-nematic. This last phase consists of layers formed by supramolecular arches. They create a modulation of the molecular polarity whose period is sensitively controlled by molecular geometry. We identify transition densities using correlation functions together with appropriately defined order parameters and compare them with predictions from Onsager theory. The contribution of the molecular excluded area to deviations from Onsager theory and simple liquid crystal phase morphology is discussed. We demonstrate the isotropic–quasi-nematic transition to be consistent with a Kosterlitz-Thouless disclination unbinding scenario.

J. Chem. Phys. **143**, 114505 (2015)

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**Detention Times of Microswimmers Close to
Surfaces: Influence of Hydrodynamic ****Interactions
and Noise**

**by Konstantin Schaar, Andreas Zöttl, Holger
Stark**

After colliding with a surface, microswimmers reside there during
the detention time. They accumulate and may form complex
structures such as biofilms. We introduce a general framework to
calculate the distribution of detention times using the method of
first-passage times and study how rotational noise
and hydrodynamic interactions influence the escape from a
surface. We compare generic swimmer models to the simple active
Brownian particle. While the respective detention times of source
dipoles are smaller, the ones of pullers are larger by up to
several orders of magnitude, and pushers show both trends. We apply
our results to the more realistic squirmer model, for which we
use lubrication theory, and validate them by simulations with
multiparticle collision dynamics.

Phys. Rev. Lett.
**115**, 038101 (2015)

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**Feedback control of flow vorticity at low
Reynolds numbers**

**by Maria Zeitz, Pavel Gurevich, and Holger
Stark**

Our aim is to explore strategies of feedback control to design and stabilize novel dynamic flow patterns in model systems of complex fluids. To introduce the control strategies, we investigate the simple Newtonian fluid at low Reynolds number in a circular geometry. Then, the fluid vorticity satisfies a diffusion equation. We determine the mean vorticity in the sensing area and use two control strategies to feed it back into the system by controlling the angular velocity of the circular boundary. Hysteretic feedback control generates self-regulated stable oscillations in time, the frequency of which can be adjusted over several orders of magnitude by tuning the relevant feedback parameters. Time-delayed feedback control initiates unstable vorticity modes for sufficiently large feedback strength. For increasing delay time, we first observe oscillations with beats and then regular trains of narrow pulses. Close to the transition line between the resting fluid and the unstable modes, these patterns are relatively stable over long times.

Eur. Phys. J.E **38**, 22 (2015)

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**Random walk patterns of a soil bacterium
in open and confined environments**

**by Matthias Theves, Johannis Taktikos, Vasily
Zaburdaev, Holger Stark, and Carsten Beta**

We used microfluidic tools and high-speed time-lapse microscopy to record trajectories of the soil bacterium Pseudomonas putida in a confined environment with cells swimming in close proximity to a glass-liquid interface. While the general swimming pattern is preserved, when compared to swimming in the bulk fluid, our results show that cells in the presence of two solid boundaries display more frequent reversals in swimming direction and swim faster. Additionally, we observe that run segments are no longer straight and that cells swim on circular trajectories, which can be attributed to the hydrodynamic wall effect. Using the experimentally observed parameters together with a recently presented analytic model for a run-reverse random walker, we obtained additional insight on how the spreading behavior of a cell population is affected under confinement. While on short time scales, the mean square displacement of confined swimmers grows faster as compared to the bulk fluid case, our model predicts that for large times the situation reverses due to the strong increase in effective rotational diffusion.

Europhys. Lett. **109**, 28007 (2015)

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**Simulating the Complex Cell Design of
Trypanosoma brucei and Its Motility**

**by Davod Alizadehrad, Timothy Krüger, Markus Engstler, and
Holger Stark**

The flagellate *Trypanosoma brucei*, which causes the
sleeping sickness when infecting a mammalian host, goes through
an intricate life cycle. It has a rather complex propulsion
mechanism and swims in diverse microenvironments.
These continuously exert selective pressure, to which the
trypanosome adjusts with its architecture and behavior. As a result,
the trypanosome assumes a diversity of complex morphotypes during
its life cycle. However, although cell biology has detailed form
and function of most of them, experimental data on the dynamic
behavior and development of most morphotypes is lacking. Here we
show that simulation science can predict intermediate cell designs by
conducting specific and controlled modifications of an accurate,
nature-inspired cell model, which we developed using information from
live cell analyses. The cell models account for several important
characteristics of the real trypanosomal morphotypes, such as the
geometry and elastic properties of the cell body, and their
swimming mechanism using an eukaryotic flagellum. We introduce an
elastic network model for the cell body, including bending
rigidity and simulate swimming in a fluid environment, using
the mesoscale simulation technique called multi-particle
collision dynamics. The in *silico* trypanosome of the
bloodstream form displays the characteristic *in vivo*
rotational and translational motility pattern that is crucial for
survival and virulence in the vertebrate host. Moreover, our
model accurately simulates the trypanosome’s tumbling and backward
motion. We show that the distinctive course of the attached
flagellum around the cell body is one important aspect to produce the
observed swimming behavior in a viscous fluid, and also required
to reach the maximal swimming velocity. Changing details of
the flagellar attachment generates less efficient swimmers. We
also simulate different morphotypes that occur during
the parasite’s development in the tsetse fly, and predict a
flagellar course we have not been able to measure in experiments
so far.

PLoS Comput. Biol. **11**, e1003967--1-13 (2015)

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**Stability of liquid films covered by a
carpet of self-propelled surfactant particles**

**by Andrey Pototsky, Uwe Thiele, and Holger
Stark**

We consider a carpet of self-propelled particles at the liquid-gas
interface of a liquid film on a solid substrate. The particles
exert an excess pressure on the interface and also move along the
interface while the swimming direction changes due to rotational
diffusion. We study the intricate influence of these self-propelled
insoluble surfactants on the stability of the film surface and
show that depending on the strength of in-surface
rotational diffusion and the absolute value of the in-surface
swimming velocity, several characteristic instability modes
can occur. In particular, rotational diffusion can either
stabilize the film or induce instabilities of different character.

Phys. Rev. E. **90**, 030401(R) (2014)

highlighted as Editors' suggestion

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**Dynamic Clustering and Chemotactic
Collapse of Self-Phoretic Active Particles**

**by Oliver Pohl and Holger Stark**

Recent experiments with self-phoretic particles at low concentrations show a pronounced dynamic clustering [I. Theurkauff et al.,Phys. Rev. Lett. 108, 268303 (2012)]. We model this situation by taking into account the translational and rotational diffusiophoretic motion, which the active particles perform in their self-generated chemical field. Our Brownian dynamics simulations show pronounced dynamic clustering only when these two phoretic contributions give rise to competing attractive and repulsive interactions, respectively. We identify two dynamic clustering states and characterize them by power-law-exponential distributions. In case of mere attraction a chemotactic collapse occurs directly from the gaslike into the collapsed state, which we also predict by mapping our Langevin dynamics on the Keller-Segel model for bacterial chemotaxis.

Phys. Rev. Lett. **112**, 238303 (2014)

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**Self-induced polar order of active
Brownian particles in a harmonic trap**

**by Marc Hennes, Katrin Wolff, and Holger
Stark**

Hydrodynamically interacting active particles in an external
harmonic potential form a self-assembled fluid pump at large
enough Péclet numbers. Here, we give a quantitative criterion for the
formation of the pump and show that particle orientations align
in the self-induced flow field in surprising analogy
to ferromagnetic order where the active Péclet number plays the
role of inverse temperature. The particle orientations follow a
Boltzmann distribution Φ(**p**) ∼ exp(Ap_z) where the
ordering mean field A scales with the active Péclet number and
polar order parameter. The mean flow field in which the particles’
swimming directions align corresponds to a regularized Stokeslet
with strength proportional to swimming speed. Analytic mean-field
results are compared with results from Brownian dynamics simulations
with hydrodynamic interactions included and are found to capture
the self-induced alignment very well.

Phys. Rev. Lett. **112**, 238104 (2014)

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**Feedback control of inertial microfluidics
using axial control forces**

**by Christopher Prohm and Holger Stark**

Inertial microfluidics is a promising tool for many lab-on-a-chip applications. Particles in channel flows with Reynolds numbers above one undergo cross-streamline migration to a discrete set of equilibrium positions in square and rectangular channel cross sections. This effect has been used extensively for particle sorting and the analysis of particle properties. Using the lattice Boltzmann method, we determined the equilibrium positions in square and rectangular cross sections and classify their types of stability for different Reynolds numbers, particle sizes, and channel aspect ratios. Our findings thereby help to design microfluidic Received 3rd February 2014, channels for particle sorting. Furthermore, we demonstrated how an axial control force, which slows down the particles and shifts the stable equilibrium position towards the channel center. Ultimately, the particles then stay on the centerline for forces exceeding the threshold value. This effect is sensitive to the particle size and channel Reynolds number and therefore suggests an efficient method for particle separation. In combination with a hysteretic feedback scheme, we can even increase the particle throughput.

Lab Chip **14** , 2115 (2014)

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**Controlling inertial focussing using
rotational motion**

**by Christopher Prohm, Nikolas Z****ö****ller, and Holger
Stark**

In inertial microfluidics lift forces cause a particle to migrate across streamlines to specific positions in the cross section of a microchannel. We control the rotational motion of a particle and demonstrate that this allows to manipulate the lift-force profile and thereby the particle’s equilibrium positions. We perform two-dimensional simulation studies using the method of multi-particle collision dynamics. Particles with unconstrained rotational motion occupy stable equilibrium positions in both halfs of the channel while the center is unstable. When an external torque is applied to the particle, two equilibrium positions annihilate by passing a saddle-node bifurcation and only one stable fixpoint remains so that all particles move to one side of the channel. In contrast, non-rotating particles accumulate in the center and are pushed into one half of the channel when the angular velocity is fixed to a non-zero value.

Eur. Phys. J. E **37,** 36 (2014)

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**Hydrodynamics Determines Collective Motion
and Phase Behavior of Active Colloids in Quasi-Two-Dimensional
Confinement**

**by ****Andreas Zöttl and Holger Stark**We study the collective motion of confined spherical
microswimmers such as active colloids which we model by so-called
squirmers. To simulate hydrodynamic flow fields including thermal
noise, we use the method of multiparticle collision dynamics. We
demonstrate that hydrodynamic near
fields acting between squirmers as well as between
squirmers and bounding walls crucially determine their collective
motion. In particular, with increasing density we observe a clear
phase separation into a gaslike and cluster phase for neutral
squirmers whereas strong pushers and pullers more gradually approach
the hexagonal cluster state.

Phys. Rev. Lett.

**112,**118101 (2014)

highlighted as Editors' suggestion and by pro-physik [40]

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**How the Motility Pattern of Bacteria
Affects Their ****Dispersal and
Chemotaxis**

**Johannes Taktikos****, ****Holger
Stark and ****Vasily Zaburdaev**

Most bacteria at certain stages of their life cycle are able to move actively; they can swim in a liquid or crawl on various surfaces. A typical path of the moving cell often resembles the trajectory of a random walk. However, bacteria are capable of modifying their apparently random motion in response to changing environmental conditions. As a result, bacteria can migrate towards the source of nutrients or away from harmful chemicals. Surprisingly, many bacterial species that were studied have several distinct motility patterns, which can be theoretically modeled by a unifying random walk approach. We use this approach to quantify the process of cell dispersal in a homogeneous environment and show how the bacterial drift velocity towards the source of attracting chemicals is affected by the motility pattern of the bacteria. Our results open up the possibility of accessing additional information about the intrinsic response of the cells using macroscopic observations of bacteria moving in inhomogeneous environments.

PLOS ONE **8**, e81936 (2013)

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**Optimal control of particle separation in
inertial microfluidics**

**Christopher Prohm,
Fredi ****Tröltzsch**** and
Holger Stark**

Recently, inertial mircofluidics has emerged as a promising tool to
manipulate complex liquids with possible biomedical applications,
for example, to particle separation. Indeed, in experiments
different particle types were separated based on their sizes
(A.J. Mach, D. Di Carlo, Biotechnol. Bioeng. 107, 302 (2010)). In
this article we use a theoretical study to demonstrate how concepts
from optimal control theory help to design optimized profiles of
control forces that allow to steer particles to almost any position at
the outlet of a microfluidic channel. We also show that one
specific control force profile is sufficient to guide two types
of particles to different locations at the channel outlet, where they
can be separated from each other. The particles just differ by
their size which determines the strength of the inertial lift forces
they experience. Our approach greatly enhances the efficiency of
particle separation in the inertial regime.

Eur. Phys. J.
E **36,** 118 (2013)

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**A Bacterial Swimmer with Two Alternating
Speeds of Propagation**

**by ****Matthias Theves, Johannes
Taktikos, Vasily Zaburdaev, Holger Stark and Carsten
Beta**

We recorded large data sets of swimming trajectories of the soil
bacterium Pseudomonas putida. Like other prokaryotic swimmers, P.
putida exhibits a motion pattern dominated by persistent runs that are
interrupted by turning events. An in-depth analysis of their
swimming trajectories revealed that the majority of the turning events
is characterized by an angle of a_{1} = 180 (reversals).
To a lesser extent, turning angles of a_{2} = 0 are also
found. Remarkably, we observed that, upon a reversal, the
swimming speed changes by a factor of two on average—a prominent
feature of the motion pattern that, to our knowledge, has not
been reported before. A theoretical model, based on the experimental
values for the average run time and the rotational diffusion,
recovers the mean-square displacement of P. putida if the two distinct
swimming speeds are taken into account. Compared to a swimmer
that moves with a constant intermediate speed, the mean-square
displacement is strongly enhanced. We furthermore observed a
negative dip in the directional autocorrelation at intermediate times,
a feature that is only recovered in an extended model, where the
nonexponential shape of the run-time distribution is taken into
account.

Biophys. J. **105**, 1915-1924 (2013)

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**Nonlinear dynamics of spherical particles
in Poiseuille flow under ****creeping-flow
condition**

**by ****Sebastian Reddig and Holger
Stark**

We study the nonlinear dynamics of spherical colloids under the influence of a pressure driven flow at vanishing Reynolds number. The colloids are confined between two parallel planar walls with a distance comparable to the particle diameter and they interact hydrodynamically via the solvent. We show that the bounded Poiseuille flow gives rise to new classes of trajectories resulting in crossstreamline migration. Two particles moving on these new trajectories exhibit either bound or unbound states. In the first case they oscillate on closed trajectories in the center-of-mass frame. In the second case, they exhibit cross-swapping trajectories in addition to swapping trajectories which were already observed in unbounded or bounded linear shear flow. The different classes of trajectories occur depending on the initial positions of the two particles and their size. We present state diagrams in the lateral positions, where we categorize the trajectories and color code the oscillation frequencies of the bound states. Finally we discuss how the results on the two-particle system help to understand the stability of particle trains composed of several particles.

J. Chem. Phys. 138, 234902 (2013)

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**Sedimentation and polar order of active
bottom-heavy particles **

by Katrin Wolff, Aljoscha M. Hahn, and Holger Stark

by Katrin Wolff, Aljoscha M. Hahn, and Holger Stark

Self-propelled particles in an external gravitational field have been shown to display both an increased sedimentation length and polar order even without particle interactions. Here, we investigate self-propelled particles which additionally are bottom-heavy, that is they feel a torque aligning them to swim against the gravitational field. For bottom-heavy particles the gravitational field has the two opposite effects of i) sedimentation and ii) upward alignment of the particles’ swimming direction. We perform a multipole expansion of the one-particle distribution of non-interacting particles with respect to orientation and derive expressions for sedimentation length and mean particle orientation which we check against Brownian Dynamics simulations. For large strength of gravity or small particle speeds and aligning torque, we observe sedimentation with increased sedimentation length compared with passive colloids but also active colloids without bottom-heaviness. Increasing, for example, swimming speed the sedimentation profile is inverted and the particles swim towards the top wall of the enclosing box. We find maximal orientational order at intermediate swimming speeds for both cases of particles with bottom-heaviness and those without. Ordering unsurprisingly is increased for the bottom-heavy particles, but this difference disappears at higher levels of activity and for very high activities ordering goes to zero in both cases.

Eur. Phys. J. E **36,** 43 (2013)

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**Rectification of self-propelled particles
by symmetric barriers**

**by** **Andrey Pototsky, Aljoscha M.
Hahn and Holger ****Stark**

The motion of self-propelled particles can be rectified by asymmetric or ratchetlike periodic patterns in space. Here we show that a nonzero average drift can already be induced in a periodic potential with symmetric barriers when the self-propulsion velocity is also symmetric and periodically modulated but phase-shifted against the potential. In the adiabatic limit of slow rotational diffusion we determine the mean drift analytically and discuss the influence of temperature. In the presence of asymmetric barriers, modulating the self-propulsion can largely enhance the mean drift or even reverse it.

Phys. Rev. E **87**, 042124 (2013)

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Rotation-Induced Polymorphic
Transitions in Bacterial Flagella

**by ****Reinhard Vogel and
Holger ****Stark**

Bacteria propel themselves with the help of rotating helical flagella. They change their swimming direction during tumbling events in order to increase, for example, their supply of nutrients (chemotaxis). During tumbling a bacterial flagellum assumes different polymorphic states. Based on a continuum model for the motor-flagellum system, we demonstrate that a changing motor torque can initiate these polymorphic transformations. In particular, we investigate the run-and-stop tumble strategy of Rhodobacter sphaeroides which uses a coiled-to-normal transition in its single flagellum. We also show that torque reversal in single-flagellated Escherichia coli generates a normal-to-curly I transition as observed for tumbling E. coli that swim with a bundle of several flagella.

Phys. Rev. Lett. **110**, 158104 (2013)

- [48]
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**Periodic and quasiperiodic motion of an
elongated microswimmer ****in Poiseuille
flow**

**by ****Andreas Zöttl and
Holger ****Stark**

We study the dynamics of a prolate spheroidal microswimmer in Poiseuille flow for different flow geometries. When moving between two parallel plates or in a cylindrical microchannel, the swimmer performs either periodic swinging or periodic tumbling motion. Although the trajectories of spherical and elongated swimmers are qualitatively similar, the swinging and tumbling frequency strongly depends on the aspect ratio of the swimmer. In channels with reduced symmetry the swimmers perform quasiperiodic motion which we demonstrate explicitly for swimming in a channel with elliptical cross-section.

Eur. Phys. J. E** 36**, 4 (2013)

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**Phason-induced dynamics of colloidal
particles ****on quasicrystalline
substrates**

**by ****Justus A. Kromer, Michael
Schmiedeberg, Johannes Roth, and
Holger ****Stark**

Phasons are special hydrodynamic modes that occur in quasicrystals. The trajectories of particles due to a phasonic drift were recently studied by Kromer et al. (Phys. Rev. Lett. 108, 218301 (2012)) for the case where the particles stay in the minima of a quasicrystalline potential. Here, we study the mean motion of colloidal particles in quasicrystalline laser fields when a phasonic drift or displacement is applied and also consider the cases where the colloids cannot follow the potential minima. While the mean square displacement is similar to the one of particles in a random potential with randomly changing potential wells, there also is a net drift of the colloids that reverses its direction when the phasonic drift velocity is increased. Furthermore, we explore the dynamics of the structural changes in a laser-induced quasicrystal during the rearrangement process that is caused by a steady phasonic drift or an instantaneous phasonic displacement.

Eur. Phys. J. E **36**, 25 (2013)

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**Clustering and mobility of hard rods in a
quasicrystalline substrate potential**

**by Philipp Kählitz, Martin Schoen,
and ****Holger Stark**

Recently, we have studied the self-assembly of hard needles in a quasicrystalline substrate potential with decagonal symmetry [P. Kählitz and H. Stark, J. Chem. Phys. 136, 174705 (2012)10.1063/1.4711086]. We have identified new structure formation using Monte Carlo simulations. However, hard needles have a zero width. To investigate how the excluded volume of rod-shaped particles influences their phase ordering, we extend here our studies to spherocylinders. We determine phase diagrams and plot them in the relevant variables, strength of substrate potential versus area fraction. At increasing area fraction η short rods form clusters that ultimately destroy directional ordering along the decagonal symmetry directions while surface-induced positional order exists for all η. In contrast, long rods show directional order in the whole density range. However, at high area fractions they assemble into compact clusters which destroy positional ordering. Finally, we also study the rod mobility using the kinetic Monte Carlo method and discuss an unexpected mobility enhancement with increasing density. All these features crucially depend on the non-zero excluded volume of the spherocylinders.

- [51]
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**Trypanosome Motion Represents an
Adaptation to theCrowded Environment of the Vertebrate
Bloodstream**

**by Niko Heddergott, Timothy Krüger, Sujin B. Babu, Ai Wei, Erik Stellermanns, Sravanti Uppaluri, Thomas Pfohl,**

**Holger Stark,**

**Markus Engstler**

Blood is a remarkable habitat: it is highly viscous, contains a dense packaging of cells and perpetually flows at velocities varying over three orders of magnitude. Only few pathogens endure the harsh physical conditions within the vertebrate bloodstream and prosper despite being constantly attacked by host antibodies. African trypanosomes are strictly extracellular blood parasites, which evade the immune response through a system of antigenic variation and incessant motility. How the flagellates actually swim in blood remains to be elucidated. Here, we show that the mode and dynamics of trypanosome locomotion are a trait of life within a crowded environment. Using high-speed fluorescence microscopy and ordered micro-pillar arrays we show that the parasites mode of motility is adapted to the density of cells in blood. Trypanosomes are pulled forward by the planar beat of the single flagellum. Hydrodynamic flow across the asymmetrically shaped cell body translates into its rotational movement. Importantly, the presence of particles with the shape, size and spacing of blood cells is required and sufficient for trypanosomes to reach maximum forward velocity. If the density of obstacles, however, is further increased to resemble collagen networks or tissue spaces, the parasites reverse their flagellar beat and consequently swim backwards, in this way avoiding getting trapped. In the absence of obstacles, this flagellar beat reversal occurs randomly resulting in irregular waveforms and apparent cell tumbling. Thus, the swimming behavior of trypanosomes is a surprising example of micro-adaptation to life at low Reynolds numbers. For a precise physical interpretation, we compare our high-resolution microscopic data to results from a simulation technique that combines the method of multi-particle collision dynamics with a triangulated surface model. The simulation produces a rotating cell body and a helical swimming path, providing a functioning simulation method for a microorganism with a complex swimming

strategy.

PLoS Pathogen **8**, e1003023 (2012)

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**Inertial microfluidics with multi-particle
collision dynamics****by Christopher Prohm,
Michael Gierlak,**** and Holger Stark**

Using the method of multi-particle collision dynamics (MPCD), we
investigate inertial focussing in microfluidic channels that
gives rise to the Segré-Silberberg effect. At intermediate
Reynolds numbers, we model the motion of a spherical colloid in
a circular microchannel under pressure-driven flow. We determine
the radial distribution function and show how its width and
the location of its maximum are strongly influenced by the colloid
size and the Reynolds number of the Poiseuille flow. We
demonstrate that MPCD is well suited for calculating mean values for
the lift force acting on the colloid in the cross-sectional
plane and for its mean axial velocity. We introduce a Langevin
equation for the cross-sectional motion whose steady state
is the Boltzmann distribution that contains the integrated lift force
as potential energy. It perfectly coincides with the
simulated radial distribution function.

Eur.
Phys. J. E **35**, 80 (2012)

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**Active Brownian particles in
two-dimensional traps****by Andrey Pototsky
and Holger Stark**

We consider a population of
self-propelled Brownian particles in 2D traps. For noninteracting
particles the stationary distribution for position and orientation is
found analytically for small and large rotational diffusivities. These
results are used to map the system of interacting active particles
onto a system of passive particles in a modified trapping potential
which we then formulate as a dynamic density functional theory. Our
approach is supported by Brownian dynamics simulations of the original
and the effective model.

Europhys. Lett.
**98**, 50004 (2012)

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**What phasons look like: Particle
trajectories in a quasicrystalline potential****by Justus A. Kromer, Michael Schmiedeberg, Johannes Roth,
and Holger Stark**

Among the distinctive features of
quasicrystals—structures with long-range order but without
periodicity—are phasons. Phasons are hydrodynamic modes that, like
phonons, do not cost free energy in the long-wavelength limit. For
light-induced colloidal quasicrystals, we analyze the collective
rearrangements of the colloids that occur when the phasonic
displacement of the light field is changed. The colloidal model system
is employed to study the link between the continuous description of
phasonic modes in quasicrystals and collective phasonic flips of
atoms. We introduce characteristic areas of reduced phononic and
phasonic displacements and use them to predict individual colloidal
trajectories. In principle, our method can be employed with all
quasicrystalline systems in order to derive collective rearrangements
of particles from the continuous description of phasons.

Phys. Rev. Lett. **108**, 218301 (2012)

Highlighted article and selected as an Editors' Suggestion

See also Synopsis in Physics: Phasons passing by [55]

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**Nonlinear dynamics of a microswimmer in
Poiseuille flow****by Andreas Zöttl and
Holger Stark**

We study the three-dimensional
dynamics of a spherical microswimmer in cylindrical Poiseuille flow
which can be mapped onto a Hamiltonian system. Swinging and tumbling
trajectories are identified. In 2D they are equivalent to oscillating
and circling solutions of a mathematical pendulum. Hydrodynamic
interactions between the swimmer and confining channel walls lead to
dissipative dynamics and result in stable trajectories, different for
pullers and pushers. We demonstrate this behavior in the dipole
approximation of the swimmer and with simulations using the method of
multiparticle collision dynamics.

Phys. Rev. Lett. **108**, 218104 (2012)

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**Phase ordering of hard needles on a
quasicrystalline substrate****by Philipp
Kählitz and Holger Stark**

Quasicrystals possess
long-range positional and orientational order. However, they cannot be
periodic in space due to their non-crystallographic symmetries such as
a 10-fold rotational axis. We perform Monte Carlo simulations of
two-dimensional hard-needle systems subject to a quasiperiodic
substrate potential. We determine phase diagrams as a function of
density and potential strength for two needle lengths. With increasing
potential strength short needles tend to form isolated clusters that
display directional order along the decagonal directions. Long needles
create interacting clusters that stabilize the nematic phase. At large
potential strengths the clusters position themselves on two interwoven
Fibonacci sequences perpendicular to the cluster orientation.
Alternatively, one obtains extended domains of needle clusters which
are aligned along all decagonal symmetry directions.

J. Chem. Phys. **136**, 174705 (2012)

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**Collective dynamics of model
microorganisms with chemotactic signaling****by Johannes Taktikos, Vasily
Zaburdaev, and Holger Stark**

Various microorganisms
use chemotaxis for signaling among individuals — a common strategy
for communication that is responsible for the formation of
microcolonies. We model the microorganisms as autochemotactic active
random walkers and describe them by an appropriate Langevin dynamics.
It consists of rotational diffusion of the walker’s velocity
direction and a deterministic torque that aligns the velocity
direction along the gradient of a self-generated chemical field. To
account for finite size, each microorganism is treated as a soft disk.
Its velocity is modified when it overlaps with other walkers according
to a linear force-velocity relation and a harmonic repulsion force. We
analyze two-walker collisions by presenting typical trajectories and
by determining a state diagram that distinguishes between free walker,
metastable, and bounded cluster states. We mention an analogy to
Kramer’s escape problem. Finally, we investigate relevant properties
of many-walker systems and describe characteristics of cluster
formation in unbounded geometry and in confinement.

Phys. Rev. E **85**, 051901 (2012)

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**Motor-driven bacterial flagella and
buckling instabilities****by
Reinhard Vogel and Holger Stark**

Many types of
bacteria swim by rotating a bundle of helical filaments also called
flagella. Each filament is driven by a rotary motor and a very
flexible hook transmits the motor torque to the filament. We model it
by discretizing Kirchhoff’s elastic-rod theory and develop a
coarse-grained approach for driving the helical filament by a motor
torque. A rotating flagellum generates a thrust force, which pushes
the cell body forward and which increases with the motor torque. We
fix the rotating flagellum in space and show that it buckles under the
thrust force at a critical motor torque. Buckling becomes visible as a
supercritical Hopf bifurcation in the thrust force. A second buckling
transition occurs at an even higher motor torque. We attach the
flagellum to a spherical cell body and also observe the first buckling
transition during locomotion. By changing the size of the cell body,
we vary the necessary thrust force and thereby obtain a characteristic
relation between the critical thrust force and motor torque. We
present a elaborate analytical model for the buckling transition based
on a helical rod which quantitatively reproduces the critical
force-torque relation. Real values for motor torque, cell body size,
and the geometry of the helical filament suggest that buckling should
occur in single bacterial flagella. We also find that the orientation
of pulling flagella along the driving torque is not stable and comment
on the biological relevance for marine bacteria.

Eur.
Phys. J. E **35**, 15 (2012)

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**Modeling a self-propelled autochemotactic
walker****by Johannes
Taktikos, Vasily Zaburdaev, and Holger Stark**

We
develop a minimal model for the stochastic dynamics of microorganisms
where individuals communicate via autochemotaxis. This means that
microorganisms, such as bacteria, amoebae, or cells, follow the
gradient of a chemical that they produce themselves to attract or
repel each other. A microorganism is represented as a self-propelled
particle or walker with constant speed while its velocity direction
diffuses on the unit circle. We study the autochemotactic response of
a single self-propelled walker whose dynamics is non-Markovian. We
show that its long-time dynamics is always diffusive by deriving
analytic expressions for its diffusion coefficient in the weak- and
strong-coupling case. We confirm our findings by numerical
simulations.

Phys. Rev. E **84**, 041924
(2011)

- [61]
- © Copyright??

**Modelling bacterial flagellar
growth****by Maximilian Schmitt and Holger Stark**

The growth of bacterial flagellar filaments is a self-assembly
process where flagellin molecules are transported through the narrow
core of the flagellum and are added at the distal end. To model this
situation, we generalize a growth process based on the TASEP model by
allowing particles to move both forward and backward on the lattice.
The bias in the forward and backward jump rates determines the
lattice tip speed, which we analyze and also compare to simulations.
For positive bias, the system is in a non-equilibrium steady state
and exhibits boundary-induced phase transitions. The tip speed is
constant. In the no-bias case we find that the length of the lattice
grows as N(t)∝sqrt(t), whereas for negative drift
*N*(*t*)∝ln *t*. The latter result agrees with
experimental data of bacterial flagellar growth.

Europhys.
Lett. **96**, 28001 (2011)

- [62]
- © Copyright??

**Active colloidal suspensions exhibit polar
order under gravity****by
Mihaela Enculescu and Holger Stark**

Recently, the
steady sedimentation profile of a dilute suspension of chemically
powered colloids under gravitational field was studied experimentally
[J. Palacci et al, Phys. Rev. Lett. **105**, 088304
(2010)]. It was found that the sedimentation length increases
quadratically with the swimming speed of the active Brownian
particles. Here we investigate theoretically the sedimentation of
self-propelled particles undergoing translational and rotational
diffusion. We find that with increasing sedimentation length the
swimming directions of the particles develop polar order against the
gravitational field. We suggest realistic parameter values to observe
this ordering. Finally, we formulate a dynamic density functional
theory for active suspensions under the condition that a
non-equilibrium steady state exists.

Phys. Rev. Lett.
**107**, 058301 (2011)

- [63]
- © Copyright??

**Modeling the bacterial flagellum by an
elastic network of rigid bodies****by Christoph Speier, Reinhard Vogel, and Holger
Stark**

Bacteria such as *Escherichia coli*
propel themselves by rotating a bundle of helical filaments, each
driven by a rotary motor embedded in the cell membrane. Each filament
is an assembly of thousands of copies of the protein flagellin which
assumes two different states. We model the filament by an elastic
network of rigid bodies that form bonds with one another according to
a scheme suggested by Namba and Vondervistz (1997 *Q. Rev.
Biophys.* **30** 1–65) and add additional binding
sites at the inner part of the rigid body. Our model reproduces the
helical parameters of the 12 possible polymorphic configurations very
well. We demonstrate that its energetical ground state corresponds to
the normal helical form, usually observed in nature, only when inner
and outer binding sites of the rigid body have a large axial
displacement. This finding correlates directly to the elongated shape
of the flagellin molecule. An Ising Hamiltonian in our model directly
addresses the two states of the flagellin protein. It contains an
external field that represents external parameters which allow us to
alter the ground state of the filament.

Phys. Biol.
**8** 046009 (2011)

- [64]
- © Copyright??

**Langevin dynamics deciphers the motility
pattern of swimming parasites****by Vasily Zaburdaev, Sravanti Uppaluri, Thomas Pfohl, Markus
Engstler, Rudolf Friedrich, and Holger Stark**

The
parasite African trypanosome swims in the bloodstream of mammals and
causes the highly dangerous human sleeping sickness. Cell motility is
essential for the parasite's survival within the mammalian host. We
present an analysis of the random-walk pattern of a swimming
trypanosome in a well-controlled environment. From experimental
time-autocorrelation functions for the direction of motion we identify
two relaxation times that dier by an order of magnitude. They
originate from the rapid deformations of the cell body and a slower
rotational diusion of the average swimming direction. Velocity
uctuations are athermal and increase for faster trypanosomes whose
trajectories are also straighter. We demonstrate that such a complex
behavior is fully captured by two decoupled Langevin equations that
decipher the complex trajectory pattern by referring it to the
microscopic details of cell behavior. Moreover, the model provides a
prediction for the shorter relaxation time beyond experimental
resolution.

Phys. Rev. Lett. **106**, 208103
(2011)

- [65]
- © Copyright??

**Metachronal waves in a chain of rowers
with hydrodynamic interactions****by Christopher Wollin and Holger Stark**

Filaments on the surface of a microorganism such as Paramecium or
Ophalina beat highly synchronized and form so-called metachronal waves
that travel along the surfaces. In order to study under what principal
conditions these waves form, we introduce a chain of beads, called
rowers, each periodically driven by an external force on a straight
line segment. To implement hydrodynamic interactions between the
beads, they are considered point-like. Two beads synchronize in
antiphase or in phase depending on the positive or negative curvature
of their driving-force potential. Concentrating on in-phase
synchronizing rowers, we find that they display only transient
synchronization in a bulk fluid. On the other hand, metachronal waves
with wavelengths of 7-10 rower distances emerge, when we restrict the
range of hydrodynamic interactions either artificially to nearest
neighbors or by the presence of a bounding surface as in any relevant
biological system.

Eur. Phys. J. E **34**,
42--1-10 (2011)

- [66]
- © Copyright??

**Force-extension curves of bacterial
flagella****by Reinhard Vogel and Holger
Stark**

Bacterial flagella assume different helical
shapes during the tumbling phase of a bacterium but also in response
to varying environmental conditions. Force-extension measurements by
Darnton and Berg explicitly demonstrate a transformation from the
coiled to the normal helical state (N.C. Darnton, H.C. Berg, Biophys.
J. 92, 2230 (2007)). We here develop an elastic model for the
flagellum based on Kirchhoff's theory of an elastic rod that describes
such a polymorphic transformation and use resistive force theory to
couple the flagellum to the aqueous environment. We present
Brownian-dynamics simulations that quantitatively reproduce the
force-extension curves and study how the ratio $Gamma$ of torsional to
bending rigidity and the extensional rate influence the response of
the flagellum. An upper bound for $Gamma$ is given. Using clamped
flagella, we show in an adiabatic approximation that the mean
extension, where a local coiled-to-normal transition occurs first,
depends on the logarithm of the extensional rate.

Eur.
Phys. J. E **33**, 259-271 (2010)

- [67]
- © Copyright??

**Archimedean-like colloidal tilings on
substrates with decagonal and tetradecagonal symmetry****by Michael Schmiedeberg, Jules Mikhael, Sebastian
Rausch, Johannes Roth, Laurent Helden, Clemens Bechinger, and Holger
Stark**

Two-dimensional colloidal suspensions
subjected to laser interference patterns with decagonal symmetry can
form an Archimedean-like tiling phase where rows of squares and
triangles order aperiodically along one direction (J. Mikhael *et
al.*, Nature **454**, 501 (2008)). In experiments as
well as in Monte Carlo and Brownian dynamics simulations, we identify
a similar phase when the laser field possesses tetradecagonal
symmetry. We characterize the structure of both Archimedean-like
tilings in detail and point out how the tilings differ from each
other. Furthermore, we also estimate specific particle densities
where the Archimedean-like tiling phases occur. Finally, using
Brownian dynamics simulations we demonstrate how phasonic distortions
of the decagonal laser field influence the Archimedean-like tiling. In
particular, the domain size of the tiling can be enlarged by phasonic
drifts and constant gradients in the phasonic displacement. We
demonstrate that the latter occurs when the interfering laser beams
are not ideally adjusted.

Eur. Phys. J. E
**32**, 25-34 (2010)

- [68]
- © Copyright??

**Proliferation of
anomalous symmetries in colloidal monolayers subjected to
quasiperiodic light fields****by Jules Mikhael, Michael Schmiedeberg, Sebastian Rausch,
Johannes Roth, Holger Stark, and Clemens Bechinger**

Quasicrystals provide a fascinating class of materials with intriguing properties. Despite a strong potential for numerous technical applications, the conditions under which quasicrystals form are still poorly understood. Currently, it is not clear why most quasicrystals hold 5- or 10-fold symmetry but no single example with 7- or 9-fold symmetry has ever been observed. Here we report on geometrical constraints which impede the formation of quasicrystals with certain symmetries in a colloidal model system. Experimentally, colloidal quasicrystals are created by subjecting micron-sized particles to two-dimensional quasiperiodic potential landscapes created by

*n*= 5 or seven laser beams. Our results clearly demonstrate that quasicrystalline order is much easier established for

*n*= 5 compared to

*n*= 7. With increasing laser intensity we observe that the colloids first adopt quasiperiodic order at local areas which then laterally grow until an extended quasicrystalline layer forms. As nucleation sites where quasiperiodicity originates, we identify highly symmetric motifs in the laser pattern. We find that their density strongly varies with

*n*and surprisingly is smallest exactly for those quasicrystalline symmetries which have never been observed in atomic systems. Since such high-symmetry motifs also exist in atomic quasicrystals where they act as preferential adsorption sites, this suggests that it is indeed the deficiency of such motifs which accounts for the absence of materials with e.g., 7-fold symmetry.

PNAS

**107**, 7214-7218 (2010)

- [69]
- © Copyright??

**Simulation of a Model
Microswimmer****by Matthew T. Downton and
Holger Stark**

We discuss the modelling of a
microswimmer that operates in a 'squirmer' mode, by means of
stochastic rotation dynamics. The squirmer that we model can easily
be tuned between a 'pusher' and a 'puller'. We examine the flows
produced by the squirmer and find that there is good agreement
between both the predicted and simulated velocities of locomotion and
the resulting flow field.

J. Phys.: Cond. Matter
**21**, 204101 (2009)

- [70]
- © Copyright??

**Fluid transport at low Reynolds numbers
with magnetically actuated artificial cilia****by Erik M. Gauger, Matthew T. Downton, and Holger
Stark**

By numerical modeling we investigate fluid
transport in low-Reynolds-number flow achieved with a special elastic
filament or artifical cilium attached to a planar surface.
The filament is made of superparamagnetic particles linked together
by DNA double strands. An external magnetic field induces
dipolar interactions between the beads of the filament which provides
a convenient way of actuating the cilium in a well-controlled
manner. The filament has recently been used to successfully construct
the first artificial micro-swimmer (R. Dreyfus *et
al.*, Nature **437**, 862 (2005)). In our numerical
study we introduce a measure, which we call pumping performance, to
quantify the fluid transport induced by the magnetically
actuated cilium and identify an optimum stroke pattern of the
filament. It consists of a slow transport stroke and a fast
recovery stroke. Our detailed parameter study also reveals that for
sufficiently large magnetic fields the artificial cilium is
mainly governed by the Mason number that compares frictional to
magnetic forces. Initial studies on multi-cilia systems show
that the pumping performance is very sensitive to the imposed phase
lag between neighboring cilia, *i.e.*, to the details
of the initiated metachronal wave.

Eur. Phys. J. E
**28**, 231-242 (2009)

- [71]
- © Copyright??

**Dry and wet interfaces: Influence of
solvent particles on molecular recognition****by Johannes Taktikos and Hans Behringer**

We present a coarse-grained lattice model to study the influence of
water on the recognition process of two rigid proteins. The basic
model is formulated in terms of the hydrophobic effect. We then
investigate several modifications of our basic model showing that the
selectivity of the recognition process can be enhanced by considering
the explicit influence of single solvent particles. When the number
of cavities at the interface of a protein-protein complex is fixed as
an intrinsic geometric constraint, there typically exists a
characteristic fraction that should be filled with water molecules
such that the selectivity exhibits a maximum. In addition the optimum
fraction depends on the hydrophobicity of the interface so that one

has to distinguish between dry and wet interfaces.

Phys. Rev. E **79**, 041908 (2009)

- [72]
- © Copyright??

**Beating kinematics of magnetically
actuated cilia**

by Matthew T. Downton and
Holger Stark

We study the beating kinematics and
pumping performance of a magnetically actuated artificial cilium
attached to a surface using a bead spring model. Several different
beating patterns for the external field are considered along with the
possiblity of defects in the filament at isolated points. Hydrodynamic
interactions between the beads are included by a modified Rotne-Prage
tensor such that the no-slip boundary condition at the surface is
satisfied. We find that the correct positioning of defects along the
filament length can lead to significant increases in the pumping
performance of a planar beating pattern. Even more efficient for
pumping fluid are three-dimensional beating strokes which bring the
filament close to the surface during the return part of the stroke.

Europhys. Lett. **85**, 44002 (2009)

- [73]
- © Copyright??

**Random Walks with Random Velocities**

**by Vasily Zaburdaev, Michael Schmiedeberg, and Holger
Stark**

We consider a random walk model that takes into account the velocity distribution of random walkers. Random motion with alternating velocities is inherent to various physical and biological systems. Moreover, the velocity distribution is often the first characteristic that is experimentally accessible. Here, we derive transport equations describing the dispersal process in the model and solve them analytically. The asymptotic properties of solutions are presented in the form of a phase diagram that shows all possible scaling regimes,including superdiffusive, ballistic, and superballistic motion. The theoretical results of this work are in excellent agreement with accompanying numerical simulations.

Phys. Rev. E **78**, 011119 (2008)

- [74]
- © Copyright??

**Colloidal ordering on a 2D quasicrystalline
substrate**

**by Michael Schmiedeberg and Holger Stark**

By using Monte Carlo simulations, we study the complex phase
behavior of charged-stabilized colloidal particles in a
two-dimensional substrate potential with quasicrystalline decagonal
symmetry. In the regime where the strengths of the substrate and
colloidal pair potential are comparable, we identify a novel and
unexpected quasicrystalline phase with pure 20-fold bond order and a
disordered structure without any apparent rotational symmetry.
Furthermore, we demonstrate how phasonic displacements in the
substrate potential induce phasonic flips in the colloidal
monolayer.

Phys. Rev. Lett.** 101**, 218302
(2008)

- [75]
- © Copyright??

**Immer in Bewegung bleiben: Die sonderbare
Welt der kleinen Reynoldszahlen**

**by Holger Stark**

Die Natur hat ausgeklügelte Mechanismen entwickelt, mit denen sich
Mikroorganismen wie Bakterien und Spermien in wässriger Lösung
fortbewegen oder mit denen sich auf Mikrometerskala Flüssigkeit
transportieren lässt, z. B. beim Abtransport von Schleim in der
Lunge. Ein tieferes Verständnis der physikalischen Grundlagen dieser
Mechanismen ist nicht nur von physiologischer Bedeutung, sondern hilft
auch dabei, Mikrometer große künstliche Schwimmer zu konstruieren
oder in der technologisch wichtigen Mikrofluidik winzige
Flüssigkeitsmengen zu bewegen und zu mischen.

Physik Journal
**6**, 31-37 (2007)

- [76]
- © Copyright??

**Non-Central Forces in Crystals of Charged
Colloids**

**by D. Reinke, H. Stark, H.-H. von Grünberg, A.B. Schofield, G.
Maret, and U. Gasser**

The elastic properties of fcc crystals consisting of charged
stabilized colloidal particles are determined from real space imaging
experiments using confocal microscopy. The normal modes and the force
constants of the crystal are obtained from the fluctuations of the
particles around their lattice sites using the equipartition theorem.
We show that the Cauchy relation is not fulfilled and that only
noncentral many-body forces can account for the elastic
properties.

Phys. Rev. Lett. **98**, 038301
(2007)

- [77]
- © Copyright??

**Melting of a Colloidal Absorbate on a 1D
Quasicrystalline Substrate**

**by M. Schmiedeberg, J. Roth, and H. Stark**

Using Monte-Carlo simulations and an extended
Landau-Alexander-MCTague theory, we demonstrate that colloids in a
one-dimensional quasicrystalline potential order in triangular and
rhombic-alpha crystalline phases.

Increasing the strength of the
potential further, a new type of light-induced melting is discovered
that has its origin in the non-periodicity of the potential. In
contrast to reentrant melting in periodic potentials, the
quasicrystalline potenial melts the crystalline phases even when they
already exist at zero potential.

Phys. Rev. Lett. **97**,
158304 (2006)

- [78]
- © Copyright??

**Direct Observation of Hydrodynamic
Rotation-Translation Coupling between two colloidal Spheres**

**by S. Martin, M. Reichert, H. Stark, and T. Gisler**

By combining optical tweezers with polarization microscopy, the
hydrodynamic coupling between position and orientation fluctuations in
a pair of colloidal spheres has been measured.

Imaging of
birefringent particles under crossed polarizers allows for the
simultaneous determination of the positions and orientations of both
particles. The temporal cross-correlation function between random
displacements of one particle and orientation fluctuations of its
neighbor allows for the quantification of the hydrodynamic
rotation-translation coupling between the spheres. Our results are in
good agreement with predictions for the hydrodynamic mobility tensors
calculated in the creeping-flow limit of the Navier-Stokes
equation.

Phys. Rev. Lett. **97**, 248301 (2006)

- [79]
- © Copyright??

**Numerical Study of a Microscopic Artificial
Swimmer**

**by E. Gauger and H. Stark**

We present a detailed numerical study of a microscopic artificial
swimmer realized recently by Dreyfus (em et al.) in experiments [R.
Dreyfus (em et al.), Nature, **437**, 862 (2005)].

It consists
of an elastic filament composes of superparamagnetic particles that
are linked together by DNA strands. Attached to a load particle, the
resulting swimmer is actuated by an oscillating external magnetic
field so that it performs a non-reciprocal motion in order to move
forward.

We model the superparamagnetic filament by a bead-spring
configuration that resists bending like a rigid rod and whose beads
experience friction with surrounding fluid and hydrodynamic
interactions with each other.

Phys. Rev. E **74**, 021907
(2006)

- [80]
- © Copyright??

**Surmounting Barriers: The Benefit of
Hydrodynamic Interactions**

**by C. Lutz, M. Reichert, H. Stark, and C. Bechinger**

We experimentally and theoretically investigate the collective
behavior of three colloidal particles that are driven by a constant
force along a toroidal trap. Due to hydrodynamic interactions, a
characteristic limit cycle is observed. When we additionally apply a
periodic sawtooth potential, we find a novel caterpillar-like motional
sequence that is dominated by hydrodynamic interactions and promotes
the surmounting of potential barriers by the
particles.

Europhys. Lett. **74**, 719
(2006)

- [81]
- © Copyright??

**Superdiffusion in a Honeycomb Billiard**

**by M. Schmiedeberg and H. Stark**

We investigate particle transport in the honeycomb billiard that
consists of connected channels placed on the edges of a honeycomb
structure. The spreading of particles is superdiffusive due to the
existence of ballistic trajectories which we term perfect
paths.

Simulations give a time exponent of 1.72 for the mean square
displacement and a starlike, i.e., anisotropic particle distribution.
We present an analytical treatment based on the formalism of
continuous-time random walks and explain both the time exponent and
the anisotropic distribution.

Phys. Rev. E **73**, 031113
(2006)

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