Gyrokinetic Turbulence Investigations Involving Ion and Electron Scales

T. Görler, F. Jenko (), M. J. Pueschel, D. Told and H. Lesch
Additional contact information
T. Görler: EURATOM Association, Max-Planck-Institut für Plasmaphysik
F. Jenko: EURATOM Association, Max-Planck-Institut für Plasmaphysik
M. J. Pueschel: EURATOM Association, Max-Planck-Institut für Plasmaphysik
D. Told: EURATOM Association, Max-Planck-Institut für Plasmaphysik
H. Lesch: EURATOM Association, Max-Planck-Institut für Plasmaphysik

A chapter in High Performance Computing in Science and Engineering, Garching/Munich 2009, 2010, pp 491-501 from Springer

Abstract: Abstract Plasma microinstabilities are one of the key physics problems on the way to efficient power plants based on nuclear fusion. They cause anomalous heat and particle transport which significantly degrades the plasma confinement quality, thus preventing self-sustaining plasma burning in present-day experiments. Hence, extensive experimental studies are dedicated to understanding and predicting turbulence features. They are accompanied by numerical simulations which are typically based on the gyrokinetic theory. While experimental diagnostics are about to address the role of fine-scale turbulence within a bath of large-scale turbulence, nonlinear gyrokinetic codes are already able to investigate turbulent transport at a wide range of wave numbers simultaneously. However, such simulations covering several space and time scales self-consistently are computationally extremely demanding and thus need to be massively parallelized.

Keywords: Electron Scale; Plasma Turbulence; Electron Heat; Fusion Device; Multiscale Simulation (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-13872-0_41

Ordering information: This item can be ordered from
http://www.springer.com/9783642138720

DOI: 10.1007/978-3-642-13872-0_41

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().