4,262 research outputs found
The fate of quasiparticles in the superconducting state
Quasiparticle properties in the superconducting state are masked by the
superfluid and are not directly accessible to infrared spectroscopy. We show
how one can use a Kramers--Kronig transformation to separate the quasiparticle
from superfluid response and extract intrinsic quasiparticle properties in the
superconducting state. We also address the issue of a narrow quasiparticle peak
observed in microwave measurements, and demonstrate how it can be combined with
infrared measurements to obtain unified picture of electrodynamic properties of
cuprate superconductors
The optimization of banking regulation intensity from the perspective of financial stability in banking sector: an empirical analysis
This paper investigates a multifactorial model, which allows defining an optimum level of banking regulation
intensity based on the provision of a financial stability (at the macrolevel) and financial stability of banks (at
the microlevel). An aggregated index of banking regulation intensity as well as an integrated index of financial
stability of banks, which were the main factorial and resultative characteristic features during investigations,
was formed for carrying-out of an empirical analysis. The optimum level of intensity of banking regulation
has been suggested to define as the extremum of function of integrated index of financial stability of banks
(determined by the method of the uniform optimality) on the relevant influencing factors (method of principal
components)
An Infrared study of the Josephson vortex state in high-Tc cuprates
We report the results of the c-axis infrared spectroscopy of La_{2-x} Sr_x
CuO_4 in high magnetic field oriented parallel to the CuO_2 planes. A
significant suppression of the superfluid density with magnetic field rho_s(H)
is observed for both underdoped (x=0.125) and overdoped (x=0.17) samples. We
show that the existing theoretical models of the Josephson vortex state fail to
consistently describe the observed effects and discuss possible reasons for the
discrepancies
ScGAN: A Generative Adversarial Network to Predict Hypothetical Superconductors
Despite having been discovered more than three decades ago, High Temperature
Superconductors (HTSs) lack both an explanation for their mechanisms and a
systematic way to search for them. To aid this search, this project proposes
ScGAN, a Generative Adversarial Network (GAN) to efficiently predict new
superconductors. ScGAN was trained on compounds in OQMD and then transfer
learned onto the SuperCon database or a subset of it. Once trained, the GAN was
used to predict superconducting candidates, and approximately 70\% of them were
determined to be superconducting by a classification model--a 23-fold increase
in discovery rate compared to manual search methods. Furthermore, more than
99\% of predictions were novel materials, demonstrating that ScGAN was able to
potentially predict completely new superconductors, including several promising
HTS candidates. This project presents a novel, efficient way to search for new
superconductors, which may be used in technological applications or provide
insight into the unsolved problem of high temperature superconductivity
Heavy fermion fluid in high magnetic fields: an infrared study of CeRuSb
We report a comprehensive infrared magneto-spectroscopy study of
CeRuSb compound revealing quasiparticles with heavy effective mass
m, with a detailed analysis of optical constants in fields up to 17 T. We
find that the applied magnetic field strongly affects the low energy
excitations in the system. In particular, the magnitude of m 70
m (m is the quasiparticle band mass) at 10 K is suppressed by as much
as 25 % at 17 T. This effect is in quantitative agreement with the mean-field
solution of the periodic Anderson model augmented with a Zeeman term
Electronic Structure and Charge Dynamics of Huesler Alloy Fe2TiSn Probed by Infrared and Optical Spectroscopy
We report on the electrodynamics of a Heusler alloy Fe2TiSn probed over four
decades in energy: from the far infrared to the ultraviolet. Our results do not
support the suggestion of Kondo-lattice behavior inferred from specific heat
measurements. Instead, we find a conventional Drude-like response of free
carriers, with two additional absorption bands centered at around 0.1 and 0.87
eV. The latter feature can be interpreted as excitations across a pseudogap, in
accord with band structure calculations.Comment: 3 pages, 4 figure
Vector Control of Multiple Three-Phase Permanent Magnet Motor Drives
With the rapid development of power electronics, multiphase electrical solutions are becoming a competitive alternative to the conventional three-phase drives. Nowadays, the multiphase drives represent a robust and consolidated technology in both safety-critical and high-power applications. In addition, soon they will most likely be employed in the transportation electrification process. In this context, the multiple three-phase structures are undergoing an impressive development since they use the well consolidated three-phase technology reducing cost and design time. In this paper, a highperformance vector control for multiple three-phase permanent magnet motor drives is proposed. The developed solution employees a modular approach for the independent control of each three-phase unit. To show the feasibility of the developed control scheme, experimental results are provided for a ninephase permanent magnet machine employing a triple threephase configuration
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