4,789 research outputs found
Highly anisotropic magnetic domain wall behavior in-plane magnetic films
We have studied nucleation of magnetic domains and propagation of magnetic
domain walls (DWs) induced by pulsed magnetic field in a ferromagnetic film
with in-plane uniaxial anisotropy. Different from what have been seen up to now
in out-of-plane anisotropy films, the nucleated domains have a rectangular
shape in which a pair of the opposite sides are perfectly linear DWs, while the
other pair present zigzags. This can be explained by magnetostatic
optimization, knowing that the pulse field is applied parallel to the easy
magnetization axis. The field induced propagation of these two DW types are
very different. The linear ones follow a creep law identical to what is usually
observed in out-of-plane films, when the velocity of zigzag DWs depends
linearly on the applied field amplitude down to very low field. This most
unusual feature can be explained by the shape of the DW, which makes it
possible to go round the pinning defects. Thanks to that, it seems that
propagation of zigzag walls agrees with the 1D model, and these results provide
a first experimental evidence of the 1D model relevance in two dimensional
ferromagnetic thin films. Let's note that it is the effective DW width parallel
to DW propagation direction that matters in the 1D model formula, which is a
relevant change when dealing with zigzag DWs.Comment: 20 pages, 13 figure
Spectral solver for Cauchy problems in polar coordinates using discrete Hankel transforms
We introduce a Fourier-Bessel-based spectral solver for Cauchy problems
featuring Laplacians in polar coordinates under homogeneous Dirichlet boundary
conditions. We use FFTs in the azimuthal direction to isolate angular modes,
then perform discrete Hankel transform (DHT) on each mode along the radial
direction to obtain spectral coefficients. The two transforms are connected via
numerical and cardinal interpolations. We analyze the boundary-dependent error
bound of DHT; the worst case is , which governs the method, and
the best , which then the numerical interpolation governs. The
complexity is . Taking advantage of Bessel functions being the
eigenfunctions of the Laplacian operator, we solve linear equations for all
times. For non-linear equations, we use a time-splitting method to integrate
the solutions. We show examples and validate the method on the two-dimensional
wave equation, which is linear, and on two non-linear problems: a
time-dependent Poiseuille flow and the flow of a Bose-Einstein condensate on a
disk
Wettability characteristics of carbon steel modified with CO2, Nd:YAG, Excimer and high power diode lasers
Interaction of CO2, Nd:YAG, excimer and high power diode laser (HPDL) radiation with the surface of a
common mild steel (EN8) was found to effect changes in the wettability characteristics of the steel,
namely changes in the measured contact angle. These modifications are related to changes in the surface
roughness, changes in the surface oxygen content and changes in the surface energy of the mild steel. The
wettability characteristics of the selected mild steel could be controlled and/or modified by laser surface
treatment. A correlation between the change of the wetting properties of the mild steel and the laser
wavelength was found
Quantum storage of polarization qubits in birefringent and anisotropically absorbing materials
Storage of quantum information encoded into true single photons is an
essential constituent of long-distance quantum communication based on quantum
repeaters and of optical quantum information processing. The storage of
photonic polarization qubits is, however, complicated by the fact that many
materials are birefringent and have polarization-dependent absorption. Here we
present and demonstrate a simple scheme that allows compensating for these
polarization effects. The scheme is demonstrated using a solid-state quantum
memory implemented with an ensemble of rare-earth ions doped into a biaxial
yttrium orthosilicate () crystal. Heralded single photons generated
from a filtered spontaneous parametric downconversion source are stored, and
quantum state tomography of the retrieved polarization state reveals an average
fidelity of , which is significantly higher than what is
achievable with a measure-and-prepare strategy.Comment: 7 pages, 3 figures, 1 table, corrected typos and added ref. 3
Learning dislocation dynamics mobility laws from large-scale MD simulations
The computational method of discrete dislocation dynamics (DDD), used as a
coarse-grained model of true atomistic dynamics of lattice dislocations, has
become of powerful tool to study metal plasticity arising from the collective
behavior of dislocations. As a mesoscale approach, motion of dislocations in
the DDD model is prescribed via the mobility law; a function which specifies
how dislocation lines should respond to the driving force. However, the
development of traditional hand-crafted mobility laws can be a cumbersome task
and may involve detrimental simplifications. Here we introduce a
machine-learning (ML) framework to streamline the development of data-driven
mobility laws which are modeled as graph neural networks (GNN) trained on
large-scale Molecular Dynamics (MD) simulations of crystal plasticity. We
illustrate our approach on BCC tungsten and demonstrate that our GNN mobility
implemented in large-scale DDD simulations accurately reproduces the
challenging tension/compression asymmetry observed in ground-truth MD
simulations while correctly predicting the flow stress at lower straining rate
conditions unseen during training, thereby demonstrating the ability of our
method to learn relevant dislocation physics. Our DDD+ML approach opens new
promising avenues to improve fidelity of the DDD model and to incorporate more
complex dislocation motion behaviors in an automated way, providing a faithful
proxy for dislocation dynamics several orders of magnitude faster than
ground-truth MD simulations
High power diode laser modification of the wettability characteristics of an Al2O3/SiO2 based oxide compound for improved enamelling
High power diode laser (HPDL) surface melting of a thin layer of an amalgamated Al2O3/SiO2 oxide
compound (AOC) resulted in significant changes in the wettability characteristics of the material.
This behaviour was identified as being primarily due to: (i) the polar component of the AOC surface
energy increasing after laser melting from 2.0 to 16.2 mJm-2, (ii) the surface roughness of the AOC
decreasing from an Ra value of 25.9 to 6.3 μm after laser melting and (iii) the relative surface oxygen
content of the AOC increasing by 36% after laser melting. HPDL melting was consequently
identified as affecting a decrease in the enamel contact angle from 1180 prior to laser melting to 330
after laser melting; thus allowing the vitreous enamel to wet the AOC surface. The effective melt
depth for such modifications was measured as being from 50 to 125 μm. The morphological,
microstructural and wetting characteristics of the AOC were determined using optical microscopy,
scanning electron microscopy, energy disperse X-ray analysis, X-ray diffraction techniques and
wetting experiments by the sessile drop technique. The work has shown that laser radiation can be
used to alter the wetting characteristics of the AOC only when surface melting occurs
Magnetoresistance in Thin Permalloy Film (10nm-thick and 30-200nm-wide) Nanocontacts Fabricated by e-Beam Lithography
In this paper we show spin dependent transport experiments in
nanoconstrictions ranging from 30 to 200nm. These nanoconstrictions were
fabricated combining electron beam lithography and thin film deposition
techniques. Two types of geometries have been fabricated and investigated. We
compare the experimental results with the theoretical estimation of the
electrical resistance. Finally we show that the magnetoresistance for the
different geometries does not scale with the resistance of the structure and
obtain drops in voltage of 20mV at 20Oe.Comment: 15 pages, 4 figures. Accepted by AP
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