3,273 research outputs found
Crystallization of medium length 1-alcohols in mesoporous silicon: An X-ray diffraction study
The linear 1-alcohols n-C16H33OH, n-C17H35OH, n-C19H37OH have been imbibed
and solidified in lined up, tubular mesopores of silicon with 10 nm and 15 nm
mean diameters, respectively. X-ray diffraction measurements reveal a set of
six discrete orientation states (''domains'') characterized by a perpendicular
alignment of the molecules with respect to the long axis of the pores and by a
four-fold symmetry about this direction, which coincides with the crystalline
symmetry of the Si host. A Bragg peak series characteristic of the formation of
bilayers indicates a lamellar structure of the spatially confined alcohol
crystals in 15 nm pores. By contrast, no layering reflections could be detected
for 10 nm pores. The growth mechanism responsible for the peculiar orientation
states is attributed to a nano-scale version of the Bridgman technique of
single-crystal growth, where the dominant growth direction is aligned
parallelly to the long pore axes. Our observations are analogous to the growth
phenomenology encountered for medium length n-alkanes confined in mesoporous
silicon (Phys. Rev. E 75, 021607 (2007)) and may further elucidate why porous
silicon matrices act as an effective nucleation-inducing material for protein
solution crystallization.Comment: 4 pages, 4 figures, to appear as a Brief Report in Physical Review
Ultrafast Dynamics of Carrier Multiplication in Quantum Dots
A quantum-kinetic approach to the ultrafast dynamics of carrier
multiplication in semiconductor quantum dots is presented. We investigate the
underlying dynamics in the electronic subband occupations and the time-resolved
optical emission spectrum, focusing on the interplay between the light-matter
and the Coulomb interaction. We find a transition between qualitatively
differing behaviors of carrier multiplication, which is controlled by the ratio
of the interaction induced time scale and the pulse duration of the exciting
light pulse. On short time scales, i.e., before intra-band relaxation, this
opens the possibility of detecting carrier multiplication without refering to
measurements of (multi-)exciton lifetimes.Comment: 12 pages, 7 figures, submitte
The effect of different water temperatures on the release of the atrial natriuretic factor (ANF) during "head out water immersion (HOI)"
Preferred orientation of n-hexane crystallized in silicon nanochannels: A combined x-ray diffraction and sorption isotherm study
We present an x-ray diffraction study on n-hexane in tubular silicon channels
of approximately 10 nm diameter both as a function of the filling fraction f of
the channels and as a function of temperature. Upon cooling, confined n-hexane
crystallizes in a triclinic phase typical of the bulk crystalline state.
However, the anisotropic spatial confinement leads to a preferred orientation
of the confined crystallites, where the crystallographic direction
coincides with the long axis of the channels. The magnitude of this preferred
orientation increases with the filling fraction, which corroborates the
assumption of a Bridgman-type crystallization process being responsible for the
peculiar crystalline texture. This growth process predicts for a channel-like
confinement an alignment of the fastest crystallization direction parallel to
the long channel axis. It is expected to be increasingly effective with the
length of solidifying liquid parcels and thus with increasing f. In fact, the
fastest solidification front is expected to sweep over the full silicon
nanochannel for f=1, in agreement with our observation of a practically perfect
texture for entirely filled nanochannels
Liquid n-hexane condensed in silica nanochannels: A combined optical birefringence and vapor sorption isotherm study
The optical birefringence of liquid n-hexane condensed in an array of
parallel silica channels of 7nm diameter and 400 micrometer length is studied
as a function of filling of the channels via the vapor phase. By an analysis
with the generalized Bruggeman effective medium equation we demonstrate that
such measurements are insensitive to the detailed geometrical (positional)
arrangement of the adsorbed liquid inside the channels. However, this technique
is particularly suitable to search for any optical anisotropies and thus
collective orientational order as a function of channel filling. Nevertheless,
no hints for such anisotropies are found in liquid n-hexane. The n-hexane
molecules in the silica nanochannels are totally orientationally disordered in
all condensation regimes, in particular in the film growth as well as in the
the capillary condensed regime. Thus, the peculiar molecular arrangement found
upon freezing of liquid n-hexane in nanochannel-confinement, where the
molecules are collectively aligned perpendicularly to the channels' long axes,
does not originate in any pre-alignment effects in the nanoconfined liquid due
to capillary nematization.Comment: 7 pages, 5 figure
Modelling categorical covariates in Bayesian disease mapping by partition structures
We consider the problem of mapping the risk from a disease using a series of regional counts of observed and expected cases, and information on potential risk factors. To analyse this problem from a Bayesian viewpoint we propose a methodology, which extends a spatial partition model by including categorical covariate information. Such an extension allows to detect clusters in the residual variation, reflecting further, possibly unobserved, covariates. The methodology is implemented by means of reversible jump Markov chain Monte Carlo sampling. An application is presented, in order to illustrate and compare our proposed extensions with a purely spatial partition model. Here we analyse a well-known dataset on lip cancer incidence in Scotland
Exploring Outliers in Crowdsourced Ranking for QoE
Outlier detection is a crucial part of robust evaluation for crowdsourceable
assessment of Quality of Experience (QoE) and has attracted much attention in
recent years. In this paper, we propose some simple and fast algorithms for
outlier detection and robust QoE evaluation based on the nonconvex optimization
principle. Several iterative procedures are designed with or without knowing
the number of outliers in samples. Theoretical analysis is given to show that
such procedures can reach statistically good estimates under mild conditions.
Finally, experimental results with simulated and real-world crowdsourcing
datasets show that the proposed algorithms could produce similar performance to
Huber-LASSO approach in robust ranking, yet with nearly 8 or 90 times speed-up,
without or with a prior knowledge on the sparsity size of outliers,
respectively. Therefore the proposed methodology provides us a set of helpful
tools for robust QoE evaluation with crowdsourcing data.Comment: accepted by ACM Multimedia 2017 (Oral presentation). arXiv admin
note: text overlap with arXiv:1407.763
Creation of entanglement in a scalable spin quantum computer with long-range dipole-dipole interaction between qubits
Creation of entanglement is considered theoretically and numerically in an
ensemble of spin chains with dipole-dipole interaction between the spins. The
unwanted effect of the long-range dipole interaction is compensated by the
optimal choice of the parameters of radio-frequency pulses implementing the
protocol. The errors caused by (i) the influence of the environment,(ii)
non-selective excitations, (iii) influence of different spin chains on each
other, (iv) displacements of qubits from their perfect locations, and (v)
fluctuations of the external magnetic field are estimated analytically and
calculated numerically. For the perfectly entangled state the z component, M,
of the magnetization of the whole system is equal to zero. The errors lead to a
finite value of M. If the number of qubits in the system is large, M can be
detected experimentally. Using the fact that M depends differently on the
parameters of the system for each kind of error, varying these parameters would
allow one to experimentally determine the most significant source of errors and
to optimize correspondingly the quantum computer design in order to decrease
the errors and M. Using our approach one can benchmark the quantum computer,
decrease the errors, and prepare the quantum computer for implementation of
more complex quantum algorithms.Comment: 31 page
Low dimensional ordering and fluctuations in methanol--hydroquinone-clathrate studied by X-ray and neutron diffraction
Methanol--hydroquinone-clathrate has been established as a model
system for dielectric ordering and fluctuations and is conceptually close to
magnetic spin systems. In X-ray and neutron diffraction experiments, we
investigated the ordered structure, the one-dimensional (1D) and the
three-dimensional (3D) critical scattering in the paraelectric phase, and the
temperature dependence of the lattice constants. Our results can be explained
by microscopic models of the methanol pseudospin in the hydroquinone cage
network, in consistency with previous dielectric investigations
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