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Title:

Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis

Document type:
Zeitschriftenaufsatz
Author(s):
Julia Konrad; Ionut-Gabriel Farcas; Benjamin Peherstorfer; Alessandro Di Siena; Frank Jenko; Tobias Neckel; Hans-Joachim Bungartz
Keywords:
multi-fidelity; plasma micro turbulence; data-driven surrogates
Journal title:
Journal of Computational Physics
Year:
2021
Reviewed:
ja
Language:
en
WWW:
https://arxiv.org/abs/2103.07539
Status:
Preprint / submitted
Submitted:
13.03.2021
Accepted:
13.12.2021
TUM Institution:
Department of Informatics
 BibTeX