30,492 research outputs found
Dynamics of a Rigid Rod in a Glassy Medium
We present simulations of the motion of a single rigid rod in a disordered
static 2d-array of disk-like obstacles. The rotational, , and
center-of-mass translational, , diffusion constants are calculated
for a wide range of rod length and density of obstacles . It is found
that follows the behavior predicted by kinetic theory for a hard
disk with an effective radius . A dynamic crossover is observed in
for comparable to the typical distance between neighboring
obstacles . Using arguments from kinetic theory and reptation, we
rationalize the scaling laws, dynamic exponents, and prefactors observed for
. In analogy with the enhanced translational diffusion observed in
deeply supercooled liquids, the Stokes-Einstein-Debye relation is violated for
.Comment: 8 pages, 4 figures. Major changes. To be published in Europhysics
Letter
Cluster glasses of ultrasoft particles
We present molecular dynamics (MD) simulations results for dense fluids of
ultrasoft, fully-penetrable particles. These are a binary mixture and a
polydisperse system of particles interacting via the generalized exponential
model, which is known to yield cluster crystal phases for the corresponding
monodisperse systems. Because of the dispersity in the particle size, the
systems investigated in this work do not crystallize and form disordered
cluster phases. The clustering transition appears as a smooth crossover to a
regime in which particles are mostly located in clusters, isolated particles
being infrequent. The analysis of the internal cluster structure reveals
microsegregation of the big and small particles, with a strong
homo-coordination in the binary mixture. Upon further lowering the temperature
below the clustering transition, the motion of the clusters' centers-of-mass
slows down dramatically, giving way to a cluster glass transition. In the
cluster glass, the diffusivities remain finite and display an activated
temperature dependence, indicating that relaxation in the cluster glass occurs
via particle hopping in a nearly arrested matrix of clusters. Finally we
discuss the influence of the microscopic dynamics on the transport properties
by comparing the MD results with Monte Carlo simulations.Comment: 17 pages, 23 figure
Renormalization of the Hamiltonian and a geometric interpretation of asymptotic freedom
Using a novel approach to renormalization in the Hamiltonian formalism, we
study the connection between asymptotic freedom and the renormalization group
flow of the configuration space metric. It is argued that in asymptotically
free theories the effective distance between configuration decreases as high
momentum modes are integrated out.Comment: 22 pages, LaTeX, no figures; final version accepted in Phys.Rev.D;
added reference and appendix with comment on solution of eq. (9) in the tex
CuisineNet: Food Attributes Classification using Multi-scale Convolution Network
Diversity of food and its attributes represents the culinary habits of
peoples from different countries. Thus, this paper addresses the problem of
identifying food culture of people around the world and its flavor by
classifying two main food attributes, cuisine and flavor. A deep learning model
based on multi-scale convotuional networks is proposed for extracting more
accurate features from input images. The aggregation of multi-scale convolution
layers with different kernel size is also used for weighting the features
results from different scales. In addition, a joint loss function based on
Negative Log Likelihood (NLL) is used to fit the model probability to multi
labeled classes for multi-modal classification task. Furthermore, this work
provides a new dataset for food attributes, so-called Yummly48K, extracted from
the popular food website, Yummly. Our model is assessed on the constructed
Yummly48K dataset. The experimental results show that our proposed method
yields 65% and 62% average F1 score on validation and test set which
outperforming the state-of-the-art models.Comment: 8 pages, Submitted in CCIA 201
Crystalline Electric Field Effects in CeMIn5: Superconductivity and the Influence of Kondo Spin Fluctuations
We have measured the crystalline electric field (CEF) excitations of the
CeMIn5 (M = Co, Rh, Ir) series of heavy fermion superconductors by means of
inelastic neutron scattering. Fits to a CEF model reproduce the inelastic
neutron scattering spectra and the high temperature magnetic susceptibility.
The CEF parameters, energy level splittings, and wavefunctions are tabulated
for each member of the CeMIn5 series and compared to each other as well as to
the results of previous measurements. Our results indicate that the CEF level
splitting in all three materials is similar, and can be thought of as being
derived from the cubic parent compound CeIn3 in which an excited state quartet
at ~12 meV is split into two doublets by the lower symmetry of the tetragonal
environment of the CeMIn5 materials. In each case, the CEF excitations are
observed as broad lines in the inelastic neutron scattering spectrum. We
attribute this broadening to Kondo hybridization of the localized f moments
with the conduction electrons. The evolution of the superconducting transition
temperatures in the different members of CeMIn5 can then be understood as a
direct consequence of the strength of this hybridization. Due to the importance
of Kondo spin fluctuations in these materials, we also present calculations
within the non-crossing approximation (NCA) to the Anderson impurity model
including the effect of CEF level splitting for the inelastic neutron
scattering spectra and the magnetic susceptibility.Comment: 30 pages, 6 figures, submitted to Phys. Rev.
LAPW frozen-phonon calculation, shell model lattice dynamics and specific-heat measurement of SnO
An ab-initio Linear Augmented Plane-Wave (LAPW) calculation of the
zone-centered phonon frequencies of SnO has been performed. E symmetry has
been ascribed to the mode observed at 113 cm in Raman measurements,
discarding a previous B assignement. The other phonon modes measured by
Raman spectroscopy are also well reproduced. A new shell-model has also been
developed, that gives good agreement of the zone-centered frequencies compared
to the measured data and the LAPW results. Specific heat measurements have been
performed between 5 K and 110 K. Computation of the specific heat and the
M\"{o}ssbauer recoilless fraction with the improved shell-model shows a good
agreement with the experimental data as a function of temperature.Comment: 11 pages, 1 figure. to appear in Phys. Rev. B (November 1999
The role of formalization and organizational trust as antecedents of ambidexterity: An investigation on the organic agro-food industry
This article investigates the influence of specific key organizational factors (i.e., enabling formalization, coercive formalization, and trust) as antecedents of ambidexterity. Moreover, we propose a new way of operationalizing ambidexterity, under a holistic vision, including the synergies between exploration and exploitation. The study has been developed in the Spanish organic agro-food industry; a total of 239 usable responses were received from two respondents from each company\u2014the general manager and the quality manager. The findings show that enabling formalization and organizational trust are positively related to ambidexterity, but contrary to our predictions, we found no evidence to show that coercive formalization is related to ambidexterity. In turn, we found different results for trust as a moderating factor on the types of formalization and ambidexterity
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