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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Additional info for Advances and Challenges in Computational Plasma Science
Accelerated development of computational tools and techniques is vitally needed to develop predictive models which can prove superior to empirical scaling. For example, this will have a major impact on the fusion research community’s ability to effectively harvest the key physics from the proposed International Thermonuclear Experimental Reactor (ITER). The probability that ITER will achieve its goals can be significantly enhanced by development of the capability to numerically simulate the plasma behavior under realistic conditions.
Categories of macroscopic simulations with corresponding areas of physics applications. 41 Figure 5. Three-dimensional nonlinear macroscopic simulation of a disruption event in the TFTR tokamak experiment. 42 Figure 6. Resistive MHD instabilities can lead to complex magnetic topology including islands. 43 Figure 7. Simulation of the nonlinear evolution of an internal magnetic reconnection event in the National Spherical Torus Experiment. 44 Figure 8. Simulation of the nonlinear evolution of an internal magnetic reconnection event in the START spherical torus experiment.
Particularly noteworthy is the influence on the exploration of associated phenomena in magnetospheric and solar physics research. Such findings can be relevant to various aspects of solar and space physics, including topics such as solar flares, coronal mass ejection, and magnetic sub-storms in the magnetosphere. A good example comes from the collaboration led by the University of Maryland and involving researchers at the Max Planck Institute for Plasma Physics, the University of Minnesota, and Dartmouth College.