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

Coster, D.; Fischer, R.; Hoenen, O.; Lakhlili, J.; Luk, O.; Preuss, R.; Scott, B.; Toussaint, U. von; ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society

Lokale TagsFreigabegeschichteDetailsÜbersicht

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

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.

Item is Freigegeben

einblenden: alle ausblenden: alle

Basisdaten

einblenden: ausblenden:

Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0008-95F3-D Versions-Permalink: https://hdl.handle.net/21.11116/0000-0008-95F4-C

Genre: Poster

ausblenden:

Urheber:
Coster, D.¹, Autor
Fischer, R.², Autor
Hoenen, O.³, Autor
Lakhlili, J.³, Autor
Luk, O.³, Autor
Preuss, R.³, Autor
Scott, B.³, Autor
Toussaint, U. von³, Autor
ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, Autor

Affiliations:
1Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309
2Plasma Edge and Wall (E2M), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856327
3Numerical Methods in Plasma Physics (NMPP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856344