22 research outputs found

    Oxygen deficiency structure in iron-based high temperature superconductor GdFeAsO

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    Oxygen deficiency in the iron-based HTSCGdFeAsO 1�� seems to create a parallelogram shaped Fe2+-ion/oxygen deficiency pattern in the Fe2O2 plane in c-direction. These two-dimensional nano structures form superconducting current channels which are separated by h = 0.828nm. The doping distance in direct ion of the super-current shows a strong correlation to the transition temperature

    High temperature superconducting with two doping atoms in La-doped Bi-2201 and Y-doped Bi-2212

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    These crystals have two doping patterns given by oxygen excess and doping with an additional atom with projected positions in theCuO2 plane. Both doping elements are necessary for the occurrence of superconductivity. Where the two doping patterns overlap, the point matched locations actas there sonating superconducting pathway and might explain a correlation between Tc and the doping structure

    Doping patterns in N-type high temperature superconductors PLCCO and NCCO

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    It has been demonstrated that the correlation between the doping distance and the critical transition temperature Tc for P-type HTSCs also applies to double doped N-type HTSCs. It is suggested that electron doped HTSC s also form superconducting current channels lying parallel in the CuO2 plane

    Doping structure of the high temperature superconductor

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    The doubledopedunitcellofLa2�Ca1+Cu2O6+ (LCCO-52) consistsoftwochemicalformulas,La2CaCu2O7 and Ca3Cu2O6 which areresponsiblefortheoccurrenceofsuperconductivitywith n = 2 superconductingCuO2 planes perchemical formula. Thedistance x between doubledopedunitcellsprojectedintoaCuO2 plane matchestheexperimentaltransition temperature Tc quite well

    Estimation of soil moisture under vegetation using multi sensor data

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    Soil moisture plays a key role in the hydrological cycle. Because of its heterogeneous distribution satellite measurements can be favourable for arriving at mean areal values. For bare soil such values of soil moisture can be derived from active microwave measurements. However a commonly recognised method for estimating soil moisture under vegetation using remote sensing data does not exist at present. Carlson proposed a method to estimate soil moisture of the upper layer under the vegetation. This method involves using VIS-, NIR-, and TIR data and simulations of a Soil-Vegetation-Atmosphere-Transfer (SVAT)-model. The original method is enhanced and tested in theory and practical application. Comparison of derived soil moisture with field measurements shows good agreement. It is shown that microwave measurements can be included in the analysis in a meaningful way
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