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  • American Institute of Physics (AIP)  (1)
  • Max Planck Digital Library/German e-Science Conference  (1)
  • PERGAMON-ELSEVIER SCIENCE LTD  (1)
  • 1
    Publication Date: 2015-03-17
    Description: We study the electronic properties of phosphorus doped Si nanocrystal/SiO2 superlattices and determine the carrier concentration by transient current analysis. This is achieved by encapsulating the multilayers between two electrical insulation layers and controlling the carrier mobility by a defined layer to layer separation. A saturation of the voltage dependent ionized carrier density is observed which indicates complete substitutional dopant ionization and allows to calculate the dopant induced charge carrier density. It is found that the doping efficiency of the superlattice is only 0.12% considering the full ionization regime which explains the unusual small dopant effect on transport characteristics.
    Print ISSN: 0003-6951
    Electronic ISSN: 1077-3118
    Topics: Physics
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  • 2
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    Max Planck Digital Library/German e-Science Conference
    In:  EPIC3German eScience Conference, Baden-Baden, 2007-05-02-2007-05-04Max Planck Digital Library/German e-Science Conference
    Publication Date: 2019-07-17
    Description: The project „Collaborative Climate Community Data and Processing Grid – C3Grid“ is one of the community projects in D-Grid (sponsored by German government BMBF) and aims at linking distributed data archives in several German institutions. The fundamental architecture is discussed, which includes C3Grid specific components beside the standard middleware. The implemented infrastructure for scientists in climate research provides tools for effective data discovery, data transfer and processing.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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  • 3
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    PERGAMON-ELSEVIER SCIENCE LTD
    In:  EPIC3Computers & Geosciences, PERGAMON-ELSEVIER SCIENCE LTD, 55, pp. 110-118, ISSN: 0098-3004
    Publication Date: 2019-07-17
    Description: Data assimilation algorithms combine a numerical model with observations in a quantitative way. For an optimal combination either variational minimization algorithms or ensemble-based estimation methods are applied. The computations of a data assimilation application are usually far more costly than a pure model integration. To cope with the large computational costs, a good scalability of the assimilation program is required. The ensemble-based methods have been shown to exhibit a particularly good scalability due to the natural parallelism inherent in the integration of an ensemble of model states. However, also the scalability of the estimation method – commonly based on the Kalman filter – is important. This study discusses implementation strategies for ensemble-based filter algorithms. Particularly efficient is a strong coupling between the model and the assimilation algorithm into a single executable program. The coupling can be performed with minimal changes to the numerical model itself and leads to a model with data assimilation extension. The scalability of the data assimilation system is examined using the example of an implementation of an ocean circulation model with the Parallel Data Assimilation Framework (PDAF) into which synthetic sea surface height data are assimilated.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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