Search Results - "Böckenhoff, Daniel"

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  1. 1

    Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations by Merlo, Andrea, Böckenhoff, Daniel, Schilling, Jonathan, Lazerson, Samuel Aaron, Pedersen, Thomas Sunn

    Published in Nuclear fusion (01-06-2023)
    “…The computational cost of constructing 3D magnetohydrodynamic (MHD) equilibria is one of the limiting factors in stellarator research and design. Although…”
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    Journal Article
  2. 2

    Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations by Merlo, Andrea, Böckenhoff, Daniel, Schilling, Jonathan, Lazerson, Samuel Aaron, Pedersen, Thomas Sunn, team, the W7-X

    Published 11-04-2023
    “…The computational cost of constructing 3D magnetohydrodynamic (MHD) equilibria is one of the limiting factors in stellarator research and design. Although…”
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    Journal Article
  3. 3

    Accelerated Bayesian inference of plasma profiles with self-consistent MHD equilibria at W7-X via neural networks by Merlo, Andrea, Pavone, Andrea, Böckenhoff, Daniel, Pasch, Ekkehard, Fuchert, Golo, Brunner, Kai Jakob, Rahbarnia, Kian, Schilling, Jonathan, Höfel, Udo, Kwak, Sehyun, Svensson, Jakob, Pedersen, Thomas Sunn, team, the W7-X

    Published 22-05-2023
    “…High-$\langle \beta \rangle$ operations require a fast and robust inference of plasma parameters with a self-consistent MHD equilibrium. Precalculated MHD…”
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    Journal Article
  4. 4

    Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios by Merlo, Andrea, Böckenhoff, Daniel, Schilling, Jonathan, Höfel, Udo, Kwak, Sehyun, Svensson, Jakob, Pavone, Andrea, Lazerson, Samuel Aaron, Pedersen, Thomas Sunn, Team, W7-X

    Published 09-08-2021
    “…Nucl. Fusion 61 (2021) 096039 In magnetic confinement fusion research, the achievement of high plasma pressure is key to reaching the goal of net energy…”
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    Journal Article