134 research outputs found
Nanoscale Mechanical Switching of Ferroelectric Polarization Via Flexoelectricity
Flexoelectric coefficient is a fourth-rank tensor arising from the coupling between strain gradient and electric polarization and thus exists in all crystals. It is generally ignored for macroscopic crystals due to its small magnitude. However, at the nanoscale, flexoelectric contributions may become significant and can potentially be utilized for device applications. Using the phase-field method, we study the mechanical switching of electric polarization in ferroelectric thin films by a strain gradient created via an atomic force microscope tip. Our simulation results show good agreement with existing experimental observations. We examine the competition between the piezoelectric and flexoelectric effects and provide an understanding of the role of flexoelectricity in the polarization switching. Also, by changing the pressure and film thickness, we reveal that the flexoelectric field at the film bottom can be used as a criterion to determine whether domain switching may happen under a mechanical force
Distributed Dynamic Map Fusion via Federated Learning for Intelligent Networked Vehicles
The technology of dynamic map fusion among networked vehicles has been
developed to enlarge sensing ranges and improve sensing accuracies for
individual vehicles. This paper proposes a federated learning (FL) based
dynamic map fusion framework to achieve high map quality despite unknown
numbers of objects in fields of view (FoVs), various sensing and model
uncertainties, and missing data labels for online learning. The novelty of this
work is threefold: (1) developing a three-stage fusion scheme to predict the
number of objects effectively and to fuse multiple local maps with fidelity
scores; (2) developing an FL algorithm which fine-tunes feature models (i.e.,
representation learning networks for feature extraction) distributively by
aggregating model parameters; (3) developing a knowledge distillation method to
generate FL training labels when data labels are unavailable. The proposed
framework is implemented in the Car Learning to Act (CARLA) simulation
platform. Extensive experimental results are provided to verify the superior
performance and robustness of the developed map fusion and FL schemes.Comment: 12 pages, 5 figures, to appear in 2021 IEEE International Conference
on Robotics and Automation (ICRA
Dynamic motion of polar skyrmions in oxide heterostructures
Polar skyrmions have been widely investigated in oxide heterostructure
recently, due to their exotic properties and intriguing physical insights.
Meanwhile, so far, the external field-driven motion of the polar skyrmion, akin
to the magnetic counterpart, has yet to be discovered. Here, using phase-field
simulations, we demonstrate the dynamic motion of the polar skyrmions with
integrated external thermal, electrical, and mechanical stimuli. The external
heating reduces the spontaneous polarization hence the skyrmion motion barrier,
while the skyrmions shrink under the electric field, which could weaken the
lattice pinning and interactions between the skyrmions. The mechanical force
transforms the skyrmions into c-domain in the vicinity of the indenter center
under the electric field, providing the space and driving force needed for the
skyrmions to move. This study confirmed that the skyrmions are quasi-particles
that can move collectively, while also providing concrete guidance for the
further design of polar skyrmion-based electronic devices.Comment: 17 pages, 4 figure
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Phase Coexistence of Ferroelectric Vortices and Classical a1/a2 Domains in PbTiO3/SrTiO3 Superlattices.
Genome-wide gene expression analyses reveal unique cellular characteristics related to the amenability of HPC/HSCs into high-quality induced pluripotent stem cells
is Table S2 presenting characteristics of the SF-iPSCs and TTF-iPSCs. (DOC 28 kb
Parity Splitting and Polarized-Illumination Selection of Plasmonic Higher-Order Topological States
Topological states, originated from interactions between internal degree of
freedoms (like spin and orbital) in each site and crystalline symmetries, offer
a new paradigm to manipulate electrons and classical waves. The accessibility
of spin degree of freedom has motivated much attention on spin-related
topological physics. However, intriguing topological physics related to
atomic-orbital parity, another binary degree of freedom, have not been
exploited since accessing approaches on atomic orbitals are not well developed.
Here, we theoretically discover spectral splitting of
atomic-orbital-parity-dependent second-order topological states on a
designer-plasmonic Kagome metasurface, and experimentally demonstrate it by
exploiting the easy controllability of metaatoms. Unlike previous
demonstrations on Hermitian higher-order topological insulators, radiative
non-Hermicity of the metasurface enables far-field access into
metaatomic-orbital-parity-dependent topological states with polarized
illuminations. The atomic-orbital parity degree of freedom may generate more
intriguing topological physics by interacting with different crystalline
symmetries, and promise applications in polarization-multiplexing topological
lasing and quantum emitters.Comment: 19 pages, 4 figure
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