Principal Investigator

C. S. Chang, Courant Institute of Mathematical Sciences at New York University (and KAIST)

Participating Institutions

California Institute of Technology Oakridge National Laboratory
Columbia University Princeton Plasma Physics Laboratory
Hinton Associates Rutgers University
Lawrence Berkeley National Laboratory University of California at Irvine
Lehigh University University of Colorado
MIT Plasma Science Fusion Center Korea Advanced Institute of Science and Technology
New York University Georgia Institute of Technology


The goal of this center is to develop a new integrated predictive plasma edge simulation package applicable to existing magnetic fusion facilities and next-generation burning plasma experiments, such as ITER. Timely progress on this scientific challenge demands a well-coordinated effort involving experts in plasma science, computer science, and applied mathematics. Plasmas in the edge region of large tokamaks are in a kinetic regime with complex geometry. Issues include (i) a large pedestal pressure gradient in a weak ion collisionality regime; (ii) a non-stationary spatially inhomogeneous loss boundary in velocity space coming from a magnetic separatrix; (iii) non-Maxwellian distribution functions; (iv) irregular wall geometry, and (v) interplay between neoclassical and turbulence physics. The microturbulence and neoclassical physics time scale must be studied kinetically, while the faster and larger scale MHD modes are more efficiently studied with a fluid code. A massively parallel edge turbulence PIC code will be developed to enable self-consistent investigations of electromagnetic microturbulence and neoclassical-neutral dynamics. As an end product, an integrated code framework to study the dynamical pedestal-ELM cycle will be developed by coupling the kinetic code with an existing two-fluid code using the most advanced computer science technologies. Routines from a state-of-the-art neutrals code will be integrated into the package providing a realistic kinetic neutral recycling physics capability, enhanced by the most advanced atomic physics data support. The project will take leveraged approach utilizing existing SciDAC codes, establishing proper integration and interface framework between them.


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