1,670 research outputs found
Interatomic potentials for ionic systems with density functional accuracy based on charge densities obtained by a neural network
Based on an analysis of the short range chemical environment of each atom in
a system, standard machine learning based approaches to the construction of
interatomic potentials aim at determining directly the central quantity which
is the total energy. This prevents for instance an accurate description of the
energetics of systems where long range charge transfer is important as well as
of ionized systems. We propose therefore not to target directly with machine
learning methods the total energy but an intermediate physical quantity namely
the charge density, which then in turn allows to determine the total energy. By
allowing the electronic charge to distribute itself in an optimal way over the
system, we can describe not only neutral but also ionized systems with
unprecedented accuracy. We demonstrate the power of our approach for both
neutral and ionized NaCl clusters where charge redistribution plays a decisive
role for the energetics. We are able to obtain chemical accuracy, i.e. errors
of less than a milli Hartree per atom compared to the reference density
functional results. The introduction of physically motivated quantities which
are determined by the short range atomic environment via a neural network leads
also to an increased stability of the machine learning process and
transferability of the potential.Comment: 4 figure
Unemployment in Latin America and the Caribbean
This study constructs a new data set on unemployment rates in Latin America and the Caribbean and then explores the determinants of unemployment. We compare different countries, finding that unemployment is influenced by the size of the rural population and that the effects of government regulations are generally weak. We also examine large, persistent increases in unemployment over time, finding that they are caused by contractions in aggregate demand. These demand contractions result from either disinflationary monetary policy or the defense of an exchange-rate peg in the face of capital flight. Our evidence supports hysteresis theories in which short-run changes in unemployment influence the natural rate.
Magnetism and domain formation in SU(3)-symmetric multi-species Fermi mixtures
We study the phase diagram of an SU(3)-symmetric mixture of three-component
ultracold fermions with attractive interactions in an optical lattice,
including the additional effect on the mixture of an effective three-body
constraint induced by three-body losses. We address the properties of the
system in by using dynamical mean-field theory and variational Monte
Carlo techniques. The phase diagram of the model shows a strong interplay
between magnetism and superfluidity. In the absence of the three-body
constraint (no losses), the system undergoes a phase transition from a color
superfluid phase to a trionic phase, which shows additional particle density
modulations at half-filling. Away from the particle-hole symmetric point the
color superfluid phase is always spontaneously magnetized, leading to the
formation of different color superfluid domains in systems where the total
number of particles of each species is conserved. This can be seen as the SU(3)
symmetric realization of a more general tendency to phase-separation in
three-component Fermi mixtures. The three-body constraint strongly disfavors
the trionic phase, stabilizing a (fully magnetized) color superfluid also at
strong coupling. With increasing temperature we observe a transition to a
non-magnetized SU(3) Fermi liquid phase.Comment: 36 pages, 17 figures; Corrected typo
Reciprocal interactions between the bark beetle-associated yeast Ogataea pini and host plant phytochemistry
Here we report the first experiments testing reciprocal effects between the bark beetle-associated yeast, Ogataea pini, and phytochemicals present in tree tissues (Pinus ponderosa). We tested two hypotheses: (i) tree phytochemicals mediate O. pin,i growth and (ii) O. pini affects chemical composition of plant tissues. We tested six monoterpenes on O. pins biomass growth in vitro and found that most monoterpenes inhibited O. pini growth; however mean O. pini biomass increased 21.5% when treated with myrcene and 75.5% when treated with terpinolene, relative to control. Ogataea pini was grown on phloem tissue ex vivo to determine whether O. pini affected phloem chemistry. Monoterpene concentrations declined in phloem over time, but phloem colonized by O. pini had significantly different concentrations of monoterpenes at two periods than phloem with no yeast. After 7 d, when O. pini was present, concentrations of the monoterpene Delta-3-carene was 42.9% lower than uncolonized phloem and concentrations of the monoterpene terpinolene was 345.0% higher than uncolonized phloem. After 15 d phloem colonized by O. pini had 505.4% higher concentrations of a-pinene than uncolonized phloem. These experiments suggest that O. pini responds to phytochemicals present in host tissues and the presence of O. pini might alter the chemical environment of phloem tissues during the early stages of beetle development. The interactions between O. pini and phytochemicals in pine vascular tissues might have consequences for the bark beetle that vectors O. pini, Dendroctonus brevicomis
Does a magnetic field modify the critical behaviour at the metal-insulator transition in 3-dimensional disordered systems?
The critical behaviour of 3-dimensional disordered systems with magnetic
field is investigated by analyzing the spectral fluctuations of the energy
spectrum. We show that in the thermodynamic limit we have two different
regimes, one for the metallic side and one for the insulating side with
different level statistics. The third statistics which occurs only exactly at
the critical point is {\it independent} of the magnetic field. The critical
behaviour which is determined by the symmetry of the system {\it at} the
critical point should therefore be independent of the magnetic field.Comment: 10 pages, Revtex, 4 PostScript figures in uuencoded compressed tar
file are appende
Numerical Studies of Fano Resonance in Quantum dots Embedded in AB Rings
The Fano resonance in quantum dots embedded in Aharonov-Bohm rings is
examined theoretically, using two models of non-interacting electrons. The
first model yields an analytical expression for the conductance G. G is written
in an extended Fano form with a complex parameter. The shape of the resonance
can be asymmetric or symmetric, depending on the magnetic flux enclosed in the
ring. The "phase" of the resonance is changed continuously with increasing the
flux in two-terminal situations. These are in accordance with recent
experimental results. In the second model, we consider the dephasing effect on
the Fano resonance by numerical calculations.Comment: 2 pages, 4 figures, to appear in J. Phys. Soc. Jpn., proceedings of
International Conference on Quantum Transport and Quantum Coherence
(Localisation 2002, Tokyo
Multiscale coupling and the maximum of models on the torus
We establish a coupling between the measure and the
Gaussian free field on the two-dimensional unit torus at all spatial scales,
quantified by probabilistic regularity estimates on the difference field. Our
result includes the well-studied measure. The proof uses an exact
correspondence between the Polchinski renormalisation group approach, which is
used to define the coupling, and the Bou\'e-Dupuis stochastic control
representation for . More precisely, we show that the
difference field is obtained from a specific minimiser of the variational
problem. This allows to transfer regularity estimates for the small-scales of
minimisers, obtained using discrete harmonic analysis tools, to the difference
field. As an application of the coupling, we prove that the maximum of the
field on the discretised torus with mesh-size converges in distribution to a randomly shifted Gumbel distribution as
.Comment: 45 page
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