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

Konrad, Julia; Farcaş, Ionuţ-Gabriel; Peherstorfer, Benjamin; Di Siena, Alessandro; Jenko, Frank; Neckel, Tobias; Bungartz, Hans-Joachim

doi:10.1016/j.jcp.2021.110898

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

Journal Article · 31 January 2022 · Journal of Computational Physics

DOI: https://doi.org/10.1016/j.jcp.2021.110898 · OSTI ID:1836614

;

; Peherstorfer, Benjamin;

; Jenko, Frank; Neckel, Tobias; Bungartz, Hans-Joachim

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Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

OSTI ID:: 1836614

Journal Information:: Journal of Computational Physics, Journal Name: Journal of Computational Physics Journal Issue: C Vol. 451; ISSN 0021-9991

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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