54,858 research outputs found
Crystal Growth in Fluid Flow: Nonlinear Response Effects
We investigate crystal-growth kinetics in the presence of strong shear flow
in the liquid, using molecular-dynamics simulations of a binary-alloy model.
Close to the equilibrium melting point, shear flow always suppresses the growth
of the crystal-liquid interface. For lower temperatures, we find that the
growth velocity of the crystal depends non-monotonically on the shear rate.
Slow enough flow enhances the crystal growth, due to an increased particle
mobility in the liquid. Stronger flow causes a growth regime that is nearly
temperature-independent, in striking contrast to what one expects from the
thermodynamic and equilibrium kinetic properties of the system, which both
depend strongly on temperature. We rationalize these effects of flow on crystal
growth as resulting from the nonlinear response of the fluid to strong shearing
forces.Comment: to appear in Phys. Rev. Material
Space-Based Gravity Detector for a Space Laboratory
A space-based superconducting gravitational low-frequency wave detector is
considered. Sensitivity of the detector is sufficient to use the detector as a
partner of other contemporary low-frequency detectors like LIGO and LISA. This
device can also be very useful for experimental study of other effects
predicted by theories of gravitation.Comment: 4 pages, 4 figures
Field-effect mobility enhanced by tuning the Fermi level into the band gap of Bi2Se3
By eliminating normal fabrication processes, we preserve the bulk insulating
state of calcium-doped Bi2Se3 single crystals in suspended nanodevices, as
indicated by the activated temperature dependence of the resistivity at low
temperatures. We perform low-energy electron beam irradiation (<16 keV) and
electrostatic gating to control the carrier density and therefore the Fermi
level position in the nanodevices. In slightly p-doped Bi2-xCaxSe3 devices,
continuous tuning of the Fermi level from the bulk valence band to the band-gap
reveals dramatic enhancement (> a factor of 10) in the field-effect mobility,
which suggests suppressed backscattering expected for the Dirac fermion surface
states in the gap of topological insulators
Energy-Dependent GRB Pulse Width due to the Curvature Effect and Intrinsic Band Spectrum
Previous studies have found that the width of gamma-ray burst (GRB) pulse is
energy dependent and that it decreases as a power-law function with increasing
photon energy. In this work we have investigated the relation between the
energy dependence of pulse and the so-called Band spectrum by using a sample
including 51 well-separated fast rise and exponential decay long-duration GRB
pulses observed by BATSE (Burst and Transient Source Experiment on the Compton
Gamma Ray Observatory). We first decompose these pulses into rise, and decay
phases and find the rise widths, and the decay widths also behavior as a
power-law function with photon energy. Then we investigate statistically the
relations between the three power-law indices of the rise, decay and total
width of pulse (denoted as , and , respectively)
and the three Band spectral parameters, high-energy index (),
low-energy index () and peak energy (). It is found that
(1) is strongly correlated with and but seems
uncorrelated with ; (2) is weakly correlated with the three
power-law indices and (3) does not show evident correlations with the
three power-law indices. We further investigate the origin of
and . We show that the curvature effect and the intrinsic Band
spectrum could naturally lead to the energy dependence of GRB pulse width and
also the and correlations. Our results
would hold so long as the shell emitting gamma rays has a curve surface and the
intrinsic spectrum is a Band spectrum or broken power law. The strong
correlation and inapparent correlations between
and three Band spectral parameters also suggest that the rise and decay phases
of GRB pulses have different origins.Comment: 29 pages, 9 figures, 4 tables. Accepted for publication in The
Astrophysical Journa
Controlled MOCVD growth of Bi2Se3 topological insulator nanoribbons
Topological insulators are a new class of materials that support
topologically protected electronic surface states. Potential applications of
the surface states in low dissipation electronic devices have motivated efforts
to create nanoscale samples with large surface-to-volume ratios and highly
controlled stoichiometry. Se vacancies in Bi2Se3 give rise to bulk conduction,
which masks the transport properties of the surface states. We have therefore
developed a new route for the synthesis of topological insulator nanostructures
using metalorganic chemical vapour deposition (MOCVD). MOCVD allows for control
of the Se/Bi flux ratio during growth. With the aim of rational growth, we vary
the Se/Bi flux ratio, growth time, and substrate temperature, and observe
morphological changes which indicate a growth regime in which nanoribbon
formation is limited by the Bi precursor mass-flow. MOCVD growth of Bi2Se3
nanostructures occurs via a distinct growth mechanism that is nucleated by gold
nanoparticles at the base of the nanowire. By tuning the reaction conditions,
we obtain either single-crystalline ribbons up to 10 microns long or thin
micron-sized platelets.Comment: Related papers at http://pettagroup.princeton.ed
Gravity Waves as a Probe of Hubble Expansion Rate During An Electroweak Scale Phase Transition
Just as big bang nucleosynthesis allows us to probe the expansion rate when
the temperature of the universe was around 1 MeV, the measurement of gravity
waves from electroweak scale first order phase transitions may allow us to
probe the expansion rate when the temperature of the universe was at the
electroweak scale. We compute the simple transformation rule for the gravity
wave spectrum under the scaling transformation of the Hubble expansion rate. We
then apply this directly to the scenario of quintessence kination domination
and show how gravity wave spectra would shift relative to LISA and BBO
projected sensitivities.Comment: 28 pages, 2 figures
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation
Aircraft engine manufacturers collect large amount of engine related data
during flights. These data are used to detect anomalies in the engines in order
to help companies optimize their maintenance costs. This article introduces and
studies a generic methodology that allows one to build automatic early signs of
anomaly detection in a way that is understandable by human operators who make
the final maintenance decision. The main idea of the method is to generate a
very large number of binary indicators based on parametric anomaly scores
designed by experts, complemented by simple aggregations of those scores. The
best indicators are selected via a classical forward scheme, leading to a much
reduced number of indicators that are tuned to a data set. We illustrate the
interest of the method on simulated data which contain realistic early signs of
anomalies.Comment: Proceedings of the 14th Industrial Conference, ICDM 2014, St.
Petersburg : Russian Federation (2014
Erratum : Squeezing and entanglement delay using slow light
An inconsistency was found in the equations used to calculate the variance of
the quadrature fluctuations of a field propagating through a medium
demonstrating electromagnetically induced transparency (EIT). The decoherence
term used in our original paper introduces inconsistency under weak probe
approximation. In this erratum we give the Bloch equations with the correct
dephasing terms. The conclusions of the original paper remain the same. Both
entanglement and squeezing can be delayed and preserved using EIT without
adding noise when the decoherence rate is small.Comment: 1 page, no figur
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