405 research outputs found
Theoretical study of the structural stability, electronic and magnetic properties of XVSb (X Fe, Ni, and Co) half-Heusler compounds
The structural, electronic and magnetic properties of half-Heusler compounds
XVSb (X Fe, Co and Ni) are investigated by using the density functional
theory with generalized gradient approximation (GGA), and Tran-Blaha modified
Becke-Johnson (TB-mBJ) exchange potential approximation. It is found that the
half-metallic gaps are generally reasonably widened by mBJ as compared to the
GGA approximation. The magnetic proprieties of XVSb (X Fe, Co and Ni) are
well defined within mBJ with an exact integer value of magnetic moment. The
band gaps given by TB-mBJ are in good agreement with the available theoretical
data. The FeVSb exhibits a semiconductor nature. The CoVSb and NiVSb present
half-metallic behaviour with total magnetic moment of and
in good agreement with Slater-Pauling rule. These alloys seem
to be a potential candidate of spintronic devices.Comment: 9 pages, 5 figure
Frequency dependent effective conductivity of two-dimensional metal-dielectric composites
We analyze a random resistor-inductor-capacitor lattice model of
2-dimensional metal-insulator composites. The results are compared with
Bruggeman's and Landauer's Effective Medium Approximations where a discrepancy
was observed for some frequency zones. Such a discrepancy is mainly caused by
the strong conductivity fluctuations. Indeed, a two-branches distribution is
observed for low frequencies. We show also by increasing the system size that
at the so-called Drude peak vanishes; it increases for vanishing losses.Comment: 7 pages including all figures, accepted in Int. J. Mod. Phys.
Localization and Absorption of Light in 2D Composite Metal-Dielectric Films at the Percolation Threshold
We study in this paper the localization of light and the dielectric
properties of thin metal-dielectric composites at the percolation threshold and
around a resonant frequency where the conductivities of the two components are
of the same order. In particular, the effect of the loss in metallic components
are examined. To this end, such systems are modelized as random networks,
and the local field distribution as well as the effective conductivity are
determined by using two different methods for comparison: an exact resolution
of Kirchoff equations, and a real space renormalization group method. The
latter method is found to give the general behavior of the effective
conductivity but fails to determine the local field distribution. It is also
found that the localization still persists for vanishing losses. This result
seems to be in agreement with the anomalous absorption observed experimentally
for such systems.Comment: 14 page latex, 3 ps figures. submitte
The Molecular Background Associated with the Progression of Hepatitis C to Hepatocellular Carcinoma
Hepatocellular carcinoma (HCC) is a major health problem worldwide. The DNA PM of cancer-related genes plays an important role in the development and progression of HCC. The data reported in our studies provide evidence that PM of p73, p14, and O6-MGMT is associated with HCC, whereas PM of the APC gene is more common in chronic hepatitis (CH) cases. Thus, it could be used as a maker for early detection of HCV-induced chronic active hepatitis. A panel of four genes APC, p73, p14, and O6-MGMT independently affected the classification of cases into HCC and CH with accuracy (89.9%), sensitivity (83.9%), and specificity (94.7%). Also, the detection of PM of APC, FHIT, p15, p16, and E-cadherin in peripheral blood of HCV-infected patients is a highly sensitive and specific. Therefore, blood could be used as efficiently as tissue biopsies to assess PM of different genes. This could help in the follow-up of CH patients and early detection of HCC. We did not observe a significant difference in the methylation status according to the virus type HBV versus HCV. So, plasma DNA is a reliable resource for methylation studies in the future, irrespective of the type of hepatitis infection
Monte Carlo simulation of the transmission of measles: Beyond the mass action principle
We present a Monte Carlo simulation of the transmission of measles within a
population sample during its growing and equilibrium states by introducing two
different vaccination schedules of one and two doses. We study the effects of
the contact rate per unit time as well as the initial conditions on the
persistence of the disease. We found a weak effect of the initial conditions
while the disease persists when lies in the range 1/L-10/L ( being
the latent period). Further comparison with existing data, prediction of future
epidemics and other estimations of the vaccination efficiency are provided.
Finally, we compare our approach to the models using the mass action
principle in the first and another epidemic region and found the incidence
independent of the number of susceptibles after the epidemic peak while it
strongly fluctuates in its growing region. This method can be easily applied to
other human, animals and vegetable diseases and includes more complicated
parameters.Comment: 15 pages, 4 figures, 1 table, Submitted to Phys.Rev.
Self-healing performance of multifunctional polymeric smart coatings
Multifunctional nanocomposite coatings were synthesized by reinforcing a polymeric matrix with halloysite nanotubes (HNTs) loaded with corrosion inhibitor (NaNO3) and urea formaldehyde microcapsules (UFMCs) encapsulated with a self-healing agent (linseed oil (LO)). The developed polymeric nanocomposite coatings were applied on the polished mild steel substrate using the doctor's blade technique. The structural (FTIR, XPS) and thermogravimetric (TGA) analyses reveal the loading of HNTs with NaNO3and encapsulation of UFMCs with linseed oil. It was observed that self-release of the inhibitor from HNTs in response to pH change was a time dependent process. Nanocomposite coatings demonstrate decent self-healing effects in response to the external controlled mechanical damage. Electrochemical impedance spectroscopic analysis (EIS) indicates promising anticorrosive performance of novel nanocomposite coatings. Observed corrosion resistance of the developed smart coatings may be attributed to the efficient release of inhibitor and self-healing agent in response to the external stimuli. Polymeric nanocomposite coatings modified with multifunctional species may offer suitable corrosion protection of steel in the oil and gas industry. - 2019 by the authors.Acknowledgments: This publication was made possible by NPRP Grant 9-080-2-039 from the Qatar National Research Fund (a member of the Qatar Foundation). Statements made herein are solely the responsibility of the authors. This research work was also partially supported by QU internal grant-QUCG-CAM-2018/2019-3
The effects of disorder and interactions on the Anderson transition in doped Graphene
We undertake an exact numerical study of the effects of disorder on the
Anderson localization of electronic states in graphene. Analyzing the scaling
behaviors of inverse participation ratio and geometrically averaged density of
states, we find that Anderson metal-insulator transition can be introduced by
the presence of quenched random disorder. In contrast with the conventional
picture of localization, four mobility edges can be observed for the honeycomb
lattice with specific disorder strength and impurity concentration. Considering
the screening effects of interactions on disorder potentials, the experimental
findings of the scale enlarges of puddles can be explained by reviewing the
effects of both interactions and disorder.Comment: 7 pages, 7 figure
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