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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56 (a) (b) Figure 20. Massively parallel supercomputers effectively utilized to design future experimental facilties via optimization of confinement and constructability properties 57 Target plasma Growth of Radial structures Zonal flows and decorrelation Figure 21. Interfacing of MPP simulation of microwave reflectometry diagnostic with large-scale microturbulence simulation results. 58 Figure 22. 3D particle-in-cell simulation of electron-proton two-stream instability. 59 Figure 23. Example of the kind of graduate program which promotes crossdisciplinary education in various areas of computational science applications (including plasma physics) together with applied math and computer science.
The corresponding Figure 23 shows schematically that collaborating departments and participants foster interdisciplinary research for the mutual benefit of all participating areas. 30 Figure 23. Example of the kind of graduate program which promotes crossdisciplinary education in various areas of computational science applications (including plasma physics) together with applied math and computer science. 0 Conclusion The “computational grand challenge” nature of plasma physics in general and fusion research in particular is a consequence of the fact that in addition to dealing with vast ranges in space and time scales which can span over ten decades, the relevant problems involve extreme anisotropy, the interaction between large-scale fluid-like (macroscopic) physics and fine-scale kinetic (microscopic) physics, and the need to account for geometric detail.