Search Results - "Galonska, A"

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    Parallel universal access layer: A scalable I/O library for integrated tokamak modeling by Galonska, A., Gibbon, P., Imbeaux, F., Frauel, Y., Guillerminet, B., Manduchi, G., Wolf, F.

    Published in Computer physics communications (01-03-2013)
    “…The paper describes a parallel-I/O extension of the Universal Access Layer, a multi-language interface used for exchange of standardized data objects between…”
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    Journal Article
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    Deposition and re-erosion studies by means of local impurity injection in TEXTOR by Kirschner, A., Kreter, A., Wienhold, P., Brezinsek, S., Coenen, J.W., Esser, H.G., Pospieszczyk, A., Schulz, Ch, Breuer, U., Borodin, D., Clever, M., Ding, R., Galonska, A., Huber, A., Litnovsky, A., Matveev, D., Ohya, K., Philipps, V., Samm, U., Schmitz, O., Schweer, B., Stoschus, H.

    Published in Journal of nuclear materials (01-08-2011)
    “…Pioneering experiments to study local erosion and deposition processes have been carried out in TEXTOR by injecting 13C marked hydrocarbons (CH4 and C2H4) as…”
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    Journal Article Conference Proceeding
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    Simulation of Be–C interaction dynamics in mixed Be/C layers formed in experiments at PISCES-B by Borodin, D., Doerner, R., Nishijima, D., Kirschner, A., Kreter, A., Matveev, D., Galonska, A., Philipps, V.

    Published in Journal of nuclear materials (01-08-2011)
    “…The mitigation of carbon chemical erosion observed in PISCES-B due to the presence of a minor beryllium concentration in plasma can be determined to a large…”
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    Journal Article Conference Proceeding
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    Modelling of Impurity Transport in the Linear Plasma Devices PISCES-B and Pilot-PSI Using the Monte-Carlo Code ERO by Borodin, D., Kirschner, A., Nishijima, D., Doerner, R., Westerhout, J., van Rooij, G. J., Rapp, J., Kreter, A., Ding, R., Galonska, A., Philipps, V.

    Published in Contributions to plasma physics (1988) (01-05-2010)
    “…The simulations for linear devices using the 3D Monte‐Carlo code ERO have a number of particularities of both physical and technical nature. Many physical…”
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    Journal Article
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    Modular supercomputing design supporting machine learning applications by Erlingsson, E., Cavallaro, G., Galonska, A., Riedel, M., Neukirchen, H.

    “…The DEEP-EST (DEEP - Extreme Scale Technologies) project designs and creates a Modular Supercomputer Architecture (MSA) whereby each module has different…”
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    Conference Proceeding
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