Yazar "Askerbeyli, R. T. Tagiyeva" seçeneğine göre listele

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    BCS Superconductivity of Dirac Electrons in Graphene Monolayer
    (Springer, 2019) Askerbeyli, R. T. Tagiyeva; Askerzade, I. N.
    In this work, we use the standard Bardeen-Cooper-Schrieffer (BCS) model for Dirac superconductors. We consider the thickness of graphene and substrate material layer in calculation of the Coulomb potential and estimate critical temperature T-c. We also analyze the influence of electron density on the electron-phonon interaction and Coulomb pseudopotential in graphene. Furthermore, we estimate the factor of isotopic shifting in graphene monolayer on substrate.
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    Fluctuation conductivity in two-band superconductor SmFeAsO0.8F0.2
    (De Gruyter Poland Sp Zoo, 2015) Askerzade, I. N.; Askerbeyli, R. T. Tagiyeva
    In this study we have calculated the fluctuation conductivity near critical temperature of SmFeAsO0.8F0.2 superconductor using two-band Ginzburg-Landau theory. It was illustrated that in the absence of external magnetic field, the two-band model reduced to a single effective band theory with modified temperature dependences. The calculations revealed three-dimensional character of fluctuations of conductivity in the new Fe-based superconductor SmFeAsO0.8F0.2. It has been shown that such a model is in good agreement with experimental data for this compound.
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    Oxygen Isotope Exponent as a Function of the Numbers of CuO2 Layers in Optimally Doped Superconductors Bi2Sr2Ca n-1Cu n O2n+4+? (n=1, 2, 3)
    (Springer, 2018) Askerzade, I. N.; Askerbeyli, R. T. Tagiyeva
    In this study, we carried out an analysis of the oxygen isotope exponent in optimally doped Bi2Sr2Ca (n-1) Cu (n) O2n+4 + delta ( n = 1,2,3). The expression in the strong electron-phonon coupling approach for the isotope exponent taking into account numbers of CuO2 layers in the unit cell was obtained. It is shown that increasing numbers of CuO2 layers lead to the decreasing of the isotope exponent, which is in agreement with available experimental data.