489 research outputs found
Adsorption of para-Hydrogen on Krypton pre-plated graphite
Adsorption of para-Hydrogen on the surface of graphite pre-plated with a
single layer of atomic krypton is studied thoretically by means of Path
Integral Ground State Monte Carlo simulations. We compute energetics and
density profiles of para-hydrogen, and determine the structure of the adsorbed
film for various coverages. Results show that there are two thermodynamically
stable monolayer phases of para-hydrogen, both solid. One is commensurate with
the krypton layer, the other is incommensurate. No evidence is seen of a
thermodynamically stable liquid phase, at zero temperature. These results are
qualitatively similar to what is seen for for para-hydrogen on bare graphite.
Quantum exchanges of hydrogen molecules are suppressed in this system.Comment: 12 pages, 6 figures, to appear in the proceedings of "Advances in
Computational Many-Body Physics", Banff, Alberta (Canada), January 13-16 200
Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules
Motivation:
Network-based genome-wide association studies (GWAS) aim to identify functional modules from biological networks that are enriched by top GWAS findings. Although gene functions are relevant to tissue context, most existing methods analyze tissue-free networks without reflecting phenotypic specificity.
Results:
We propose a novel module identification framework for imaging genetic studies using the tissue-specific functional interaction network. Our method includes three steps: (i) re-prioritize imaging GWAS findings by applying machine learning methods to incorporate network topological information and enhance the connectivity among top genes; (ii) detect densely connected modules based on interactions among top re-prioritized genes; and (iii) identify phenotype-relevant modules enriched by top GWAS findings. We demonstrate our method on the GWAS of [18F]FDG-PET measures in the amygdala region using the imaging genetic data from the Alzheimer's Disease Neuroimaging Initiative, and map the GWAS results onto the amygdala-specific functional interaction network. The proposed network-based GWAS method can effectively detect densely connected modules enriched by top GWAS findings. Tissue-specific functional network can provide precise context to help explore the collective effects of genes with biologically meaningful interactions specific to the studied phenotype
Nematic phase of the two-dimensional electron gas in a magnetic field
The two dimensional electron gas (2DEG) in moderate magnetic fields in
ultra-clean AlAs-GaAs heterojunctions exhibits transport anomalies suggestive
of a compressible, anisotropic metallic state. Using scaling arguments and
Monte Carlo simulations, we develop an order parameter theory of an electron
nematic phase. The observed temperature dependence of the resistivity
anisotropy behaves like the orientational order parameter if the transition to
the nematic state occurs at a finite temperature, , and is
slightly rounded by a small background microscopic anisotropy. We propose a
light scattering experiment to measure the critical susceptibility.Comment: 4 pages, 3 figure
Unconventional spin fluctuations in the hexagonal antiferromagnet YMnO
We used inelastic neutron scattering to show that well below its N\'{e}el
temperature, , the two-dimensional (2D) XY nearly-triangular
antiferromagnet YMnO has a prominent {\it central peak} associated with
2D antiferromagnetic fluctuations with a characteristic life time of 0.55(5)
ps, coexisting with the conventional long-lived spin-waves. Existence of the
two time scales suggests competition between the N\'{e}el phase favored by weak
interplane interactions, and the Kosterlitz-Thouless phase intrinsic to the 2D
XY spin system.Comment: 4pages, 5figure
Spin-dynamics simulations of the triangular antiferromagnetic XY model
Using Monte Carlo and spin-dynamics methods, we have investigated the dynamic
behavior of the classical, antiferromagnetic XY model on a triangular lattice
with linear sizes . The temporal evolutions of spin configurations
were obtained by solving numerically the coupled equations of motion for each
spin using fourth-order Suzuki-Trotter decompositions of exponential operators.
From space- and time-displaced spin-spin correlation functions and their
space-time Fourier transforms we obtained the dynamic structure factor for momentum and frequency . Below
(Kosterlitz-Thouless transition), both the in-plane () and the
out-of-plane () components of exhibit very strong
and sharp spin-wave peaks. Well above , and
apparently display a central peak, and spin-wave signatures are still seen in
. In addition, we also observed an almost dispersionless domain-wall
peak at high below (Ising transition), where long-range order
appears in the staggered chirality. Above , the domain-wall peak
disappears for all . The lineshape of these peaks is captured reasonably
well by a Lorentzian form. Using a dynamic finite-size scaling theory, we
determined the dynamic critical exponent = 1.002(3). We found that our
results demonstrate the consistency of the dynamic finite-size scaling theory
for the characteristic frequeny and the dynamic structure factor
itself.Comment: 8 pages, RevTex, 10 figures, submitted to PR
Hippocampal transcriptome-guided genetic analysis of correlated episodic memory phenotypes in Alzheimer's disease
As the most common type of dementia, Alzheimer's disease (AD) is a neurodegenerative disorder initially manifested by impaired memory performances. While the diagnosis information indicates a dichotomous status of a patient, memory scores have the potential to capture the continuous nature of the disease progression and may provide more insights into the underlying mechanism. In this work, we performed a targeted genetic study of memory scores on an AD cohort to identify the associations between a set of genes highly expressed in the hippocampal region and seven cognitive scores related to episodic memory. Both main effects and interaction effects of the targeted genetic markers on these correlated memory scores were examined. In addition to well-known AD genetic markers APOE and TOMM40, our analysis identified a new risk gene NAV2 through the gene-level main effect analysis. NAV2 was found to be significantly and consistently associated with all seven episodic memory scores. Genetic interaction analysis also yielded a few promising hits warranting further investigation, especially for the RAVLT list B Score
PREPARATION AND CHARACTERIZATION OF LOW RESISTIVITY CuS FILMS USING SPRAY PYROLYSIS
CuS films were prepared by spray pyrolysis from solutions of (NH 2 ) 2 CS and CuCl 2 .2H 2 O mixed at ratios of 3:1, 4:1 and 5:1 on glass substrates heated at 160 to 240 o C. The deposition temperatures and pulsed regime of spray were controlled with the help of electronic equipments. The resistivity, phase composition, morphology, band gap energy and type of conductivity of the films were characterized using volt-ampere, XRD, SEM, optical absorption and Hall effect measurements. It was found that for all ratios of precursors the low resistivity of the films was stably obtained at substrate temperatures from 170 to 220 o C. Among them the lowest sheet resistivity of the films reached value of 8 ohm/sqr. The influences of deposition temperature and material ratio on characteristics of the spray deposited CuS films were discussed
Coexistence of nonequilibrium density and equilibrium energy distribution of quasiparticles in a superconducting qubit
The density of quasiparticles typically observed in superconducting qubits
exceeds the value expected in equilibrium by many orders of magnitude. Can this
out-of-equilibrium quasiparticle density still possess an energy distribution
in equilibrium with the phonon bath? Here, we answer this question
affirmatively by measuring the thermal activation of charge-parity switching in
a transmon qubit with a difference in superconducting gap on the two sides of
the Josephson junction. We then demonstrate how the gap asymmetry of the device
can be exploited to manipulate its parity.Comment: Updated acknowledgements, corrected typo
Critical behavior of the planar magnet model in three dimensions
We use a hybrid Monte Carlo algorithm in which a single-cluster update is
combined with the over-relaxation and Metropolis spin re-orientation algorithm.
Periodic boundary conditions were applied in all directions. We have calculated
the fourth-order cumulant in finite size lattices using the single-histogram
re-weighting method. Using finite-size scaling theory, we obtained the critical
temperature which is very different from that of the usual XY model. At the
critical temperature, we calculated the susceptibility and the magnetization on
lattices of size up to . Using finite-size scaling theory we accurately
determine the critical exponents of the model and find that =0.670(7),
=1.9696(37), and =0.515(2). Thus, we conclude that the
model belongs to the same universality class with the XY model, as expected.Comment: 11 pages, 5 figure
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