7,817 research outputs found
Dynamical Monte Carlo investigation of spin reversals and nonequilibrium magnetization of single-molecule magnets
In this paper, we combine thermal effects with Landau-Zener (LZ) quantum
tunneling effects in a dynamical Monte Carlo (DMC) framework to produce
satisfactory magnetization curves of single-molecule magnet (SMM) systems. We
use the giant spin approximation for SMM spins and consider regular lattices of
SMMs with magnetic dipolar interactions (MDI). We calculate spin reversal
probabilities from thermal-activated barrier hurdling, direct LZ tunneling, and
thermal-assisted LZ tunnelings in the presence of sweeping magnetic fields. We
do systematical DMC simulations for Mn systems with various temperatures
and sweeping rates. Our simulations produce clear step structures in
low-temperature magnetization curves, and our results show that the thermally
activated barrier hurdling becomes dominating at high temperature near 3K and
the thermal-assisted tunnelings play important roles at intermediate
temperature. These are consistent with corresponding experimental results on
good Mn samples (with less disorders) in the presence of little
misalignments between the easy axis and applied magnetic fields, and therefore
our magnetization curves are satisfactory. Furthermore, our DMC results show
that the MDI, with the thermal effects, have important effects on the LZ
tunneling processes, but both the MDI and the LZ tunneling give place to the
thermal-activated barrier hurdling effect in determining the magnetization
curves when the temperature is near 3K. This DMC approach can be applicable to
other SMM systems, and could be used to study other properties of SMM systems.Comment: Phys Rev B, accepted; 10 pages, 6 figure
Natural optical activity and its control by electric field in electrotoroidic systems
We propose the existence, via analytical derivations, novel phenomenologies,
and first-principles-based simulations, of a new class of materials that are
not only spontaneously optically active, but also for which the sense of
rotation can be switched by an electric field applied to them-- via an induced
transition between the dextrorotatory and laevorotatory forms. Such systems
possess electric vortices that are coupled to a spontaneous electrical
polarization. Furthermore, our atomistic simulations provide a deep microscopic
insight into, and understanding of, this class of naturally optically active
materials.Comment: 3 figure
Long-Term Human Video Generation of Multiple Futures Using Poses
Predicting future human behavior from an input human video is a useful task
for applications such as autonomous driving and robotics. While most previous
works predict a single future, multiple futures with different behavior can
potentially occur. Moreover, if the predicted future is too short (e.g., less
than one second), it may not be fully usable by a human or other systems. In
this paper, we propose a novel method for future human pose prediction capable
of predicting multiple long-term futures. This makes the predictions more
suitable for real applications. Also, from the input video and the predicted
human behavior, we generate future videos. First, from an input human video, we
generate sequences of future human poses (i.e., the image coordinates of their
body-joints) via adversarial learning. Adversarial learning suffers from mode
collapse, which makes it difficult to generate a variety of multiple poses. We
solve this problem by utilizing two additional inputs to the generator to make
the outputs diverse, namely, a latent code (to reflect various behaviors) and
an attraction point (to reflect various trajectories). In addition, we generate
long-term future human poses using a novel approach based on unidimensional
convolutional neural networks. Last, we generate an output video based on the
generated poses for visualization. We evaluate the generated future poses and
videos using three criteria (i.e., realism, diversity and accuracy), and show
that our proposed method outperforms other state-of-the-art works
A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences
In this paper, we advance the state of the art in variational image segmentation through the fusion of bottom-up segmentation and top-down classification of object behavior over an image sequence. Such an approach is beneficial for both tasks and is carried out through a joint optimization, which enables the two tasks to cooperate, such that knowledge relevant to each can aid in the resolution of the other, thereby enhancing the final result. In particular, classification offers dynamic probabilistic priors to guide segmentation, while segmentation supplies its results to classification, ensuring that they are consistent with prior knowledge. The prior models are learned from training data and updated dynamically, based on segmentations of earlier images in the sequence. We demonstrate the potential of our approach in a hand gesture recognition application, where the combined use of segmentation and classification improves robustness in the presence of occlusion and background complexity
Proton-Antiproton Annihilation in Baryonium
A possible interpretation of the near-threshold enhancement in the
-mass spectrum in is the of existence
of a narrow baryonium resonance X(1860). Mesonic decays of the
-bound state X(1860) due to the nucleon-antinucleon annihilation
are investigated in this paper. Mesonic coherent states with fixed -parity
and -parity have been constructed . The Amado-Cannata-Dedoder-Locher-Shao
formulation(Phys Rev Lett. {\bf 72}, 970 (1994)) is extended to the decays of
the X(1860). By this method, the branch-fraction ratios of , and are calculated. It is shown
that if the X(1860) is a bound state of , the decay channel ( is favored over . In this way, we develop
criteria for distinguishing the baryonium interpretation for the near-threshold
enhancement effects in -mass spectrum in from other possibilities. Experimental checks are expected. An intuitive
picture for our results is discussed.Comment: 19 pages, 3 figure
A novel minimal in vitro system for analyzing HIV-1 Gag mediated budding
A biomimetic minimalist model membrane was used to study the mechanism and
kinetics of cell-free in vitro HIV-1 Gag budding from a giant unilamellar
vesicle (GUV). Real time interaction of Gag, RNA and lipid leading to the
formation of mini-vesicles was measured using confocal microscopy. Gag forms
resolution limited punctae on the GUV lipid membrane. Introduction of the Gag
and urea to a GUV solution containing RNA led to the budding of mini-vesicles
on the inside surface of the GUV. The GUV diameter showed a linear decrease in
time due to bud formation. Both bud formation and decrease in GUV size were
proportional to Gag concentration. In the absence of RNA, addition of urea to
GUVs incubated with Gag also resulted in subvesicle formation but exterior to
the surface. These observations suggest the possibility that clustering of GAG
proteins leads to membrane invagination even in the absence of host cell
proteins. The method presented here is promising, and allows for systematic
study of the dynamics of assembly of immature HIV and help classify the
hierarchy of factors that impact the Gag protein initiated assembly of
retroviruses such as HIV.Comment: 27 pages, 9 Figures and 0 Table
The Integrated Sachs-Wolfe Effect in Time Varying Vacuum Model
The integrated Sachs-Wolfe (ISW) effect is an important implication for dark
energy. In this paper, we have calculated the power spectrum of the ISW effect
in the time varying vacuum cosmological model, where the model parameter
is obtained by the observational constraint of the growth rate.
It's found that the source of the ISW effect is not only affected by the
different evolutions of the Hubble function and the dimensionless matter
density , but also by the different growth function , all
of which are changed due to the presence of matter production term in the time
varying vacuum model. However, the difference of the ISW effect in
model and model is lessened to
a certain extent due to the integration from the time of last scattering to the
present. It's implied that the observations of the galaxies with high redshift
are required to distinguish the two models
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