Advances and Challenges in Computational Plasma Science - download pdf or read online

By W.M. Tang; V.S. Chan; USDOE Office of Science (SC) (US); Princeton University. Plasma Physics Laboratory.; United States. Dept. of Energy. Office of Scientific and Technical Information

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Extra resources for Advances and Challenges in Computational Plasma Science

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While this is a formidable long term goal, the field now stands ready to begin such crossdisciplinary studies and to increase the physics content of existing integrated codes. This will necessitate the development of an architecture for bringing together the disparate physics models, combined with the algorithms and computational infrastructure that enables the models to work together. The associated integration of code modules, many of which are individually at the limits of computational resources, will clearly require substantial increases in computer power.

Another key topic, where there have been exciting advances in understanding, is the degradation of confinement of energy and particles in fusion plasmas caused by turbulence associated with small spatialscale plasma instabilities driven by gradients in the plasma pressure. While progress has been impressive, the detailed physics of the growth and saturation of these instabilities, their impact on plasma confinement, and the knowledge of how such turbulence might be controlled remain major scientific challenges.

1 1 k (cm-1) 10 Figure 16. Wave number (k) spectrum comparisons between Gas-Puff Imaging (GPI) experimental measurements and 3D electromagnetic fluid code simulations of edge turbulence on the Alcator C-Mod tokamak. 01 1 102 103 10 number of processors 104 Y-axis: number of particles (in millions) which move one step in one second Figure 17. 3D gyrokinetic global particle-in-cell codes have demonstrated excellent scaling as the number of processors is increased. 54 Time Temperature Figure 18. Terabytes of data are now generated at remote locations, as for example the heat potential shown here on 121 million grid points from a particle-in-cell turbulence simulation.

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Advances and Challenges in Computational Plasma Science by W.M. Tang; V.S. Chan; USDOE Office of Science (SC) (US); Princeton University. Plasma Physics Laboratory.; United States. Dept. of Energy. Office of Scientific and Technical Information


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