Verification of the global gyrokinetic stellarator code XGC-S for linear ion temperature gradient driven modes

Cole, M.; Hager, Robert; Moritaka, Toseo; Dominski, J.; Kleiber, R.; Ku, S.; Lazerson, S.; Riemann, J.; Chang, C. S.

doi:10.1063/1.5109259

Cited by 21 publications

(17 citation statements)

References 32 publications

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“…The reliability of full gyrokinetic simulations is debated, but to the extent that they can be taken to be reliable they could be used (1) to test whether a given stellarator configuration has acceptable transport properties and (2) to determine which features of the magnetic configuration have the greatest effect on the microturbulent transport. The microturbulence codes GENE, XGC, and GTC have been primarily developed for tokamaks but stellarator versions, such as XGC-S [29], are being developed.…”

Section: Microturbulence Strategiesmentioning

confidence: 99%

Stellarators as a fast path to fusion

Boozer¹

2021

Nucl. Fusion

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The speed with which fusion can be developed is important for the mitigation of the physical and political risks associated with the continual increase in atmospheric carbon dioxide. Remarkably, a stellarator demonstration reactor (DEMO) could be based more reliably on the empirical information available now than a tokamak DEMO on the empirical information that ITER is likely to provide over the next twenty years. Waiting imposes major risks on society and is unnecessary. Readiness is sufficiently revolutionary that many will assume that it can be dismissed without thought. But, those who are willing to read and to think will find the arguments simple and self-evident. The paper explains not only how stellarators are better positioned now than any other concept for a fast path to fusion but also areas in which further improvements can be quickly made to stellarators through computational design.

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Section: Microturbulence Strategiesmentioning

confidence: 99%

Stellarators as a fast path to fusion

Boozer¹

2021

Nucl. Fusion

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“…XGC has been extensively benchmarked against other codes, e.g., the drift-kinetic code NEO 28,29 and the gyrokinetic codes GENE 30 , GTC 31 , GEM 32 , and EUTERPE 33 . A comprehensive summary of the edge-physics specific features of XGC can be found in [21].…”

Section: A Numerical Modelmentioning

confidence: 99%

Gyrokinetic understanding of the edge pedestal transport driven by resonant magnetic perturbations in a realistic divertor geometry

Hager,

Chang,

Ferraro

et al. 2020

Preprint

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Self-consistent simulations of neoclassical and electrostatic turbulent transport in a DIII-D H-mode edge plasma under resonant magnetic perturbations (RMPs) have been performed using the global total-f gyrokinetic particle-in-cell code XGC, in order to study density-pump out and electron heat confinement. The RMP field is imported from the extended magneto-hydrodynamics (MHD) code M3D-C1, taking into account the linear two-fluid plasma response. With both neoclassical and turbulence physics considered together, the XGC simulation reproduces two key features of experimentally observed edge transport under RMPs: increased radial particle transport in the pedestal region that is sufficient to account for the experimental pump-out rate, and suppression of the electron heat flux in the steepest part of the edge pedestal. In the simulation, the density fluctuation amplitude of modes moving in the electron diamagnetic direction increases due to interaction with RMPs in the pedestal shoulder and outward, while the electron temperature fluctuation amplitude decreases.

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“…5. XGC has been extensively benchmarked against other codes, e.g., the drift-kinetic code NEO for neoclassical and impurity transport [6][7][8] , and the gyrokinetic codes GENE 9 , GTC 10 , GEM 11 , ORB5 12 , and EUTERPE 13 for nonlinear turbulence.…”

Section: Introductionmentioning

confidence: 99%