Neural-network accelerated coupled core-pedestal simulations with 
self-consistent transport of impurities and compatible with ITER IMAS

Meneghini, O.; Snoep, G.; Lyons, B. C.; McClenaghan, J.; Imai, C. S.; Grierson, B.; Smith, S. P.; Staebler, G. M.; Snyder, P. B.; Candy, J.; Belli, E.; Lao, L.; Park, J. M.; Citrin, J.; Cordemiglia, T. L.; Tema, A.; Mordijck, S.

doi:10.1088/1741-4326/abb918

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Neural-network accelerated coupled core-pedestal simulations with self-consistent transport of impurities and compatible with ITER IMAS

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Cordemiglia, T. L.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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https://doi.org/10.1088/1741-4326/abb918
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Meneghini, O., Snoep, G., Lyons, B. C., McClenaghan, J., Imai, C. S., Grierson, B., et al. (2021). Neural-network accelerated coupled core-pedestal simulations with self-consistent transport of impurities and compatible with ITER IMAS. Nuclear Fusion, 61: 026006. doi:10.1088/1741-4326/abb918.

Cite as: https://hdl.handle.net/21.11116/0000-0007-B67E-F

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