14,528 research outputs found
Angular Stripe Phase in Spin-Orbital-Angular-Momentum Coupled Bose Condensates
We propose that novel superfluid with supersolid-like properties - angular
stripe phase - can be realized in a pancake-like spin-1/2 Bose gas with
spin-orbital-angular-momentum coupling. We predict a rich ground-state phase
diagram, including the vortex-antivortex pair phase, half-skyrmion phase, and
two different angular stripe phases. The stripe phases feature modulated
angular density-density correlation with sizable contrast and can occupy a
relatively large parameter space. The low-lying collective excitations, such as
the dipole and breathing modes, show distinct behaviors in different phases.
The existence of the novel stripe phase is also clearly indicated in the
energetic and dynamic instabilities of collective modes near phase transitions.
Our predictions of the angular stripe phase could be readily examined in
current cold-atom experiments with Rb and K.Comment: 5+3 pages, 4+2 figure
Discrepancy-Guided Reconstruction Learning for Image Forgery Detection
In this paper, we propose a novel image forgery detection paradigm for
boosting the model learning capacity on both forgery-sensitive and genuine
compact visual patterns. Compared to the existing methods that only focus on
the discrepant-specific patterns (\eg, noises, textures, and frequencies), our
method has a greater generalization. Specifically, we first propose a
Discrepancy-Guided Encoder (DisGE) to extract forgery-sensitive visual
patterns. DisGE consists of two branches, where the mainstream backbone branch
is used to extract general semantic features, and the accessorial discrepant
external attention branch is used to extract explicit forgery cues. Besides, a
Double-Head Reconstruction (DouHR) module is proposed to enhance genuine
compact visual patterns in different granular spaces. Under DouHR, we further
introduce a Discrepancy-Aggregation Detector (DisAD) to aggregate these genuine
compact visual patterns, such that the forgery detection capability on unknown
patterns can be improved. Extensive experimental results on four challenging
datasets validate the effectiveness of our proposed method against
state-of-the-art competitors.Comment: 9 pages, 5 figure
Hall Coefficient and Resistivity in the Doped Bilayer Hubbard Model
Finding and understanding non-Fermi liquid transport behaviors are at the
core of condensed matter physics. Most of the existing studies were devoted to
the monolayer Hubbard model, which is the simplest model that captures
essential features of high-temperature superconductivity. Here we discover a
new type of non-Fermi liquid behavior emergent in the hole-doped bilayer
Hubbard model, using dynamical mean-field theory with a full consideration of
the short-range interlayer electron correlation. We find that at low
temperatures, the Hall coefficient has a strong nonmonotonic dependence on
temperature, leading to a double or quadruple reversal of its sign depending on
the doping level. At the same time, the resistivity exhibits two plateaus
rather than linearity in its temperature dependence. We show that these
intriguing transport behaviors stem from the formation of coherent interlayer
singlets, which scatter off gapped collective modes arising from short-range
interlayer antiferromagnetic fluctuations.Comment: 6 pages, 3 figure
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