Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis. Konrad, J., Farcas, I., Peherstorfer, B., Siena, A. D., Jenko, F., Neckel, T., & Bungartz, H. J. Comput. Phys., 451:110898, 2022.
Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis [link]Paper  doi  bibtex   
@article{DBLP:journals/jcphy/KonradFPSJNB22,
  author    = {Julia Konrad and
               Ionut{-}Gabriel Farcas and
               Benjamin Peherstorfer and
               Alessandro Di Siena and
               Frank Jenko and
               Tobias Neckel and
               Hans{-}Joachim Bungartz},
  title     = {Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling
               in plasma micro-turbulence analysis},
  journal   = {J. Comput. Phys.},
  volume    = {451},
  pages     = {110898},
  year      = {2022},
  url       = {https://doi.org/10.1016/j.jcp.2021.110898},
  doi       = {10.1016/j.jcp.2021.110898},
  timestamp = {Tue, 15 Mar 2022 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/jcphy/KonradFPSJNB22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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