22 research outputs found
Oxygen deficiency structure in iron-based high temperature superconductor GdFeAsO
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
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
Determination of Column Water Vapour Content of the Atmosphere by using the backscattered Solar Radiation at the Top of the Atmosphere
Berlin 220497
Doping patterns in N-type high temperature superconductors PLCCO and NCCO
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
Determination of the Column Water Vapour of the Atmosphere using backscattered Solar Radiation measured by the Modular Optoelectronical Scanner, MOS
Bestimmung des Säulenwasserdampfgehaltes der Atmosphäre aus den Daten des Modularen Optoelektronischen Scanners (MOS)
Doping structure of the high temperature superconductor
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
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