2,853 research outputs found
Heating-compensated constant-temperature tunneling measurements on stacks of BiSrCaCuO intrinsic junctions
In highly anisotropic layered cuprates such as BiSrCaCuO
tunneling measurements on a stack of intrinsic junctions in a high-bias range
are often susceptible to self-heating. In this study we monitored the
temperature variation of a stack ("sample stack") of intrinsic junctions by
measuring the resistance change of a nearby stack ("thermometer stack") of
intrinsic junctions, which was strongly thermal-coupled to the sample stack
through a common Au electrode. We then adopted a
proportional-integral-derivative scheme incorporated with a substrate-holder
heater to compensate the temperature variation. This in-situ temperature
monitoring and controlling technique allows one to get rid of spurious
tunneling effects arising from the self-heating in a high bias range.Comment: 3 pages, 3 figure
Domain Generalization with Vital Phase Augmentation
Deep neural networks have shown remarkable performance in image
classification. However, their performance significantly deteriorates with
corrupted input data. Domain generalization methods have been proposed to train
robust models against out-of-distribution data. Data augmentation in the
frequency domain is one of such approaches that enable a model to learn phase
features to establish domain-invariant representations. This approach changes
the amplitudes of the input data while preserving the phases. However, using
fixed phases leads to susceptibility to phase fluctuations because amplitudes
and phase fluctuations commonly occur in out-of-distribution. In this study, to
address this problem, we introduce an approach using finite variation of the
phases of input data rather than maintaining fixed phases. Based on the
assumption that the degree of domain-invariant features varies for each phase,
we propose a method to distinguish phases based on this degree. In addition, we
propose a method called vital phase augmentation (VIPAug) that applies the
variation to the phases differently according to the degree of domain-invariant
features of given phases. The model depends more on the vital phases that
contain more domain-invariant features for attaining robustness to amplitude
and phase fluctuations. We present experimental evaluations of our proposed
approach, which exhibited improved performance for both clean and corrupted
data. VIPAug achieved SOTA performance on the benchmark CIFAR-10 and CIFAR-100
datasets, as well as near-SOTA performance on the ImageNet-100 and ImageNet
datasets. Our code is available at https://github.com/excitedkid/vipaug.Comment: Accepted by AAAI-2
Collective Josephson vortex dynamics in a finite number of intrinsic Josephson junctions
We report the experimental confirmation of the collective transverse plasma
modes excited by the Josephson vortex lattice in stacks of intrinsic Josephson
junctions in BiSrCaCuO single crystals. The
excitation was confirmed by analyzing the temperature () and magnetic field
() dependencies of the multiple sub-branches in the Josephson-vortex-flow
region of the current-voltage characteristics of the system. In the near-static
Josephson vortex state for a low tunneling bias current, pronounced
magnetoresistance oscillations were observed, which represented a
triangular-lattice vortex configuration along the c axis. In the dynamic vortex
state in a sufficiently high magnetic field and for a high bias current,
splitting of a single Josephson vortex-flow branch into multiple sub-branches
was observed. Detailed examination of the sub-branches for varying field
reveals that sub-branches represent the different modes of the Josephson-vortex
lattice along the c axis, with varied configuration from a triangular to a
rectangular lattices. These multiple sub-branches merge to a single curve at a
characteristic temperature, above which no dynamical structural transitions of
the Josephson vortex lattice is expected
Current-Induced Resonant Motion of a Magnetic Vortex Core: Effect of Nonadiabatic Spin Torque
The current-induced resonant excitation of a magnetic vortex core is
investigated by means of analytical and micromagnetic calculations. We find
that the radius and the phase shift of the resonant motion are not correctly
described by the analytical equations because of the dynamic distortion of a
vortex core. In contrast, the initial tilting angle of a vortex core is free
from the distortion and determined by the nonadiabaticity of the spin torque.
It is insensitive to experimentally uncontrollable current-induced in-plane
Oersted field. We propose that a time-resolved imaging of the very initial
trajectory of a core is essential to experimentally estimate the
nonadiabaticity.Comment: 4 pages, 4 figure
Topological magnon-photon interaction for cavity magnonics
The study of cavity magnonics and topological insulators has made significant
advances over the past decade, however the possibility of combining the two
fields is still unexplored. Here, we explore such connection by investigating
hybrid cavity systems that incorporate both a ferromagnet and a topological
insulator. We find that electrons in the topological surface state efficiently
mediate the effective electric dipole coupling between the spin of the
ferromagnet and the electric field of the cavity, in contrast with the
conventional cavity magnonics theory based on magnetic dipole coupling. We
refer to this coupling as topological magnon-photon interaction, estimating it
one order of magnitude stronger than the conventional magnon-photon coupling,
and showing that its sign can be manipulated. We discuss the potential of our
proposed device to allow for scaling down and controlling the cavity system
using electronics. Our results provide solid ground for exploring the
functionalities enabled by merging cavity magnonics with topological
insulators.Comment: 8 pages, 2 figures, Accepted version to Communications Physic
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