25,761 research outputs found
Conditional stability of particle alignment in finite-Reynolds-number channel flow
Finite-size neutrally buoyant particles in a channel flow are known to
accumulate at specific equilibrium positions or spots in the channel
cross-section if the flow inertia is finite at the particle scale. Experiments
in different conduit geometries have shown that while reaching equilibrium
locations, particles tend also to align regularly in the streamwise direction.
In this paper, the Force Coupling Method was used to numerically investigate
the inertia-induced particle alignment, using square channel geometry. The
method was first shown to be suitable to capture the quasi-steady lift force
that leads to particle cross-streamline migration in channel flow. Then the
particle alignment in the flow direction was investigated by calculating the
particle relative trajectories as a function of flow inertia and of the ratio
between the particle size and channel hydraulic diameter. The flow streamlines
were examined around the freely rotating particles at equilibrium, revealing
stable small-scale vortices between aligned particles. The streamwise
inter-particle spacing between aligned particles at equilibrium was calculated
and compared to available experimental data in square channel flow (Gao {\it et
al.} Microfluidics and Nanofluidics {\bf 21}, 154 (2017)). The new result
highlighted by our numerical simulations is that the inter-particle spacing is
unconditionally stable only for a limited number of aligned particles in a
single train, the threshold number being dependent on the confinement
(particle-to-channel size ratio) and on the Reynolds number. For instance, when
the particle Reynolds number is and the particle-to-channel height
size ratio is , the maximum number of stable aligned particles per
train is equal to 3. This agrees with statistics realized on the experiments of
(Gao {\it et al.} Microfluidics and Nanofluidics {\bf 21}, 154 (2017)).Comment: 13 pages, 13 figure
Waves, rings, and trails: The scenic landscape of axonal actin.
The goal of this article is to provide the reader a snapshot of recent studies on axonal actin--largely emerging from superresolution and live-imaging experiments--and place this new information in context with earlier studies
Fuel Efficient Computation in Passive Self-Assembly
In this paper we show that passive self-assembly in the context of the tile
self-assembly model is capable of performing fuel efficient, universal
computation. The tile self-assembly model is a premiere model of self-assembly
in which particles are modeled by four-sided squares with glue types assigned
to each tile edge. The assembly process is driven by positive and negative
force interactions between glue types, allowing for tile assemblies floating in
the plane to combine and break apart over time. We refer to this type of
assembly model as passive in that the constituent parts remain unchanged
throughout the assembly process regardless of their interactions. A
computationally universal system is said to be fuel efficient if the number of
tiles used up per computation step is bounded by a constant. Work within this
model has shown how fuel guzzling tile systems can perform universal
computation with only positive strength glue interactions. Recent work has
introduced space-efficient, fuel-guzzling universal computation with the
addition of negative glue interactions and the use of a powerful non-diagonal
class of glue interactions. Other recent work has shown how to achieve fuel
efficient computation within active tile self-assembly. In this paper we
utilize negative interactions in the tile self-assembly model to achieve the
first computationally universal passive tile self-assembly system that is both
space and fuel-efficient. In addition, we achieve this result using a limited
diagonal class of glue interactions
Hessian characterization of a vortex in a maze
Recent advances in vortex imaging allow for tracing the position of
individual vortices with high resolution. Pushing an isolated vortex through
the sample with the help of a controlled transport current and measuring
its local response, the pinning energy landscape could be reconstructed
along the vortex trajectory [, , ]. This setup with linear tilts of the
potential landscape reminds about the dexterity game where a ball is balanced
through a maze. The controlled motion of objects through such tilted energy
landscapes is fundamentally limited to those areas of the landscape developing
local minima under appropriate tilt. We introduce the Hessian stability map and
the Hessian character of a pinning landscape as new quantities to characterize
a pinning landscape. We determine the Hessian character, the area fraction
admitting stable vortex positions, for various types of pinning potentials:
assemblies of cut parabolas, Lorentzian- and Gaussian-shaped traps, as well as
a Gaussian random disordered energy landscape, with the latter providing a
universal result of of stable area. Furthermore,
we discuss various aspects of the vortex-in-a-maze experiment.Comment: 17 pages, 9 figure
Pulse-coupled relaxation oscillators: from biological synchronization to Self-Organized Criticality
It is shown that globally-coupled oscillators with pulse interaction can
synchronize under broader conditions than widely believed from a theorem of
Mirollo \& Strogatz \cite{MirolloII}. This behavior is stable against frozen
disorder. Beside the relevance to biology, it is argued that synchronization in
relaxation oscillator models is related to Self-Organized Criticality in
Stick-Slip-like models.Comment: 4 pages, RevTeX, 1 uuencoded postscript figure in separate file,
accepted for publication in Phys. Rev. Lett
Interconvertible soft articles
Robust, soft, interconvertible articles constructed from soft, resilient members, which articles adopt a substantially different geometry upon an interior to exterior interconversion. The articles of the invention provide a significant visual effect and are useful as educational aids, magician's props, and toys.Published versio
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