Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in 
High-Performance Multiscale Plasma Physics Simulations

Yudin, Y.; Coster, D.; Toussaint, U. von; Jenko, F.

doi:10.1007/978-3-031-36027-5_45

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations

MPS-Authors

/persons/resource/persons263024

Yudin, Y.
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;

/persons/resource/persons108886

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

/persons/resource/persons110652

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

/persons/resource/persons109509

Jenko, F.
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;
External Organizations;

External Resource

https://doi.org/10.1007/978-3-031-36027-5_45
(Publisher version)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Yudin, Y., Coster, D., Toussaint, U. v., & Jenko, F. (2023). Epistemic and Aleatoric Uncertainty Quantification and Surrogate Modelling in High-Performance Multiscale Plasma Physics Simulations. In J. Mikyska, C. v. Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science – ICCS 2023 (pp. 572-586). Cham: Springer.

Cite as: https://hdl.handle.net/21.11116/0000-000D-7124-B

Abstract

There is no abstract available