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Building a Turbulence-transport Workflow Incorporating Uncertainty Quantification for Predicting Core Profiles in a Tokamak Plasma

MPS-Authors
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Coster,  D.
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;

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Fischer,  R.
Plasma Edge and Wall (E2M), Max Planck Institute for Plasma Physics, Max Planck Society;

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Hoenen,  O.
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;

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Lakhlili,  J.
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;

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Luk,  O.
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;

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Preuss,  R.
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;

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Scott,  B.
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;

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Toussaint,  U. von
Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society;

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Citation

Coster, D., Fischer, R., Hoenen, O., Lakhlili, J., Luk, O., Preuss, R., et al. (2021). Building a Turbulence-transport Workflow Incorporating Uncertainty Quantification for Predicting Core Profiles in a Tokamak Plasma. Poster presented at 28th IAEA Fusion Energy Conference (FEC 2020), Virtual.


Cite as: https://hdl.handle.net/21.11116/0000-0008-95F3-D
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