Publications of D. Boeckenhoff

Journal Article (15)

1.
Journal Article
Grulke, O.; Albert, C.; Alcuson Belloso, J. A.; Aleynikov, P.; Aleynikova, K.; Alonso, A.; Anda, G.; Andreeva, T.; Arvanitou, M.; Ascasibar, E. et al.: Overview of the first Wendelstein 7-X long pulse campaign with fully water-cooled plasma facing components. Nuclear Fusion 64, 112002 (2024)
2.
Journal Article
Zanini, M.; Aymerich, E.; Böckenhoff, D.; Merlo, A.; Aleynikova, K.; Brandt, C.; Braune, H.; Brunner, K. J.; Hirsch, M.; Höfel, U. et al.: Automated W7-X sawtooth crashes detection and characterization. Nuclear Fusion 64, 076027 (2024)
3.
Journal Article
Aymerich, E.; Pisano, F.; Cannas, B.; Sias, G.; Fanni, A.; Gao, Y.; Böckenhoff, D.; Jakubowski, M.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X. Nuclear Materials and Energy 34, 101401 (2023)
4.
Journal Article
Merlo, A.; Böckenhoff, D.; Schilling, J.; Lazerson, S. A.; Pedersen, T. S.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations. Nuclear Fusion 63, 066020 (2023)
5.
Journal Article
Merlo, A.; Pavone, A.; Böckenhoff, D.; Pasch, E.; Fuchert, G.; Brunner, K. J.; Rahbarnia, K.; Schilling, J.; Höfel, U.; Kwak, S. et al.: Accelerated Bayesian inference of plasma profiles with self-consistent MHD equilibria at W7-X via neural networks. Journal of Instrumentation 18, P11012 (2023)
6.
Journal Article
Pedersen, T. S.; Abramovic, I.; Agostinetti, P.; Agredano Torres, M.; Äkäslompolo, S.; Alcuson Belloso, J.; Aleynikov, P.; Aleynikova, K.; Alhashimi, M.; Ali, A. et al.: Experimental confirmation of efficient island divertor operation and successful neoclassical transport optimization in Wendelstein 7-X. Nuclear Fusion 62, 042022 (2022)
7.
Journal Article
Jakubowski, M.; Endler, M.; Feng, Y.; Gao, Y.; Killer, C.; König, R.; Krychowiak, M.; Perseo, V.; Reimold, F.; Schmitz, O. et al.: Overview of the results from divertor experiments with attached and detached plasmas at Wendelstein 7-X and their implications for steady-state operation. Nuclear Fusion 61, 106003 (2021)
8.
Journal Article
Merlo, A.; Böckenhoff, D.; Schilling, J.; Höfel, U.; Kwak, S.; Svensson, J.; Pavone, A.; Lazerson, S. A.; Pedersen, T. S.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios. Nuclear Fusion 61, 096039 (2021)
9.
Journal Article
Bongiovi, G.; Böckenhoff, D.; Carls, A.; Endler, M.; Fellinger, J.; Geiger, J.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Assessment of potential heat flux overload of target and first wall components in Wendelstein 7-X finite-beta magnetic configurations and choice of locations for temperature monitoring. Fusion Engineering and Design 161, 111902 (2020)
10.
Journal Article
Blatzheim, M.; Böckenhoff, D.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Neural network regression approaches to reconstruct properties of magnetic configuration from Wendelstein 7-X modeled heat load patterns. Nuclear Fusion 59, 126029 (2019)
11.
Journal Article
Blatzheim, M.; Böckenhoff, D.; Hölbe, H.; Pedersen, T. S.; Labahn, R.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Neural network performance enhancement for limited nuclear fusion experiment observations supported by simulations. Nuclear Fusion 59, 016012 (2019)
12.
Journal Article
Böckenhoff, D.; Blatzheim, M.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Application of improved analysis of convective heat loads on plasma facing components to Wendelstein 7-X. Nuclear Fusion 59, 086031 (2019)
13.
Journal Article
Klinger, T.; Andreeva, T.; Bozhenkov, S.; Brandt, C.; Burhenn, R.; Buttenschön, B.; Fuchert, G.; Geiger, B.; Grulke, O.; Laqua, H. P. et al.: Overview of first Wendelstein 7-X high-performance operation. Nuclear Fusion 59, 112004 (2019)
14.
Journal Article
Sinha, P.; Böckenhoff, D.; Endler, M.; Geiger, J.; Hölbe, H.; Smith, H. M.; Pedersen, T. S.; Turkin, Y.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Scenario with combined density and heating control to reduce the impact of the bootstrap current in Wendelstein 7-X. Nuclear Fusion 59, 126012 (2019)
15.
Journal Article
Böckenhoff, D.; Blatzheim, M.; Hölbe, H.; Niemann, H.; Pisano, F.; Labahn, R.; Pedersen, T. S.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Reconstruction of magnetic configurations in W7-X using artificial neural networks. Nuclear Fusion 58, 056009 (2018)

Conference Paper (1)

16.
Conference Paper
Knieps, A.; Böckenhoff, D.; Boeyaert, D.; Bozhenkov, S.; Endler, M.; Feng, Y.; Geiger, J.; Liang, Y.; Liao, L.; Suzuki, Y. et al.: FusionSC – Simplifying the daily work in fusion device modeling. In: 50th EPS Conference on Plasma Physics, P2.043 (Eds. Kirk, J.; Volpe, L.). 50th EPS Conference on Plasma Physics, Salamanca, July 08, 2024 - July 12, 2024. European Physical Society, Geneva (2024)

Meeting Abstract (1)

17.
Meeting Abstract
Merlo, A.; Böckenhoff, D.; Pedersen, T. S.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Fast neural network surrogates for VMEC MHD equilibrium code. In: Verhandlungen der Deutschen Physikalischen Gesellschaft, (VI) 55 (1), P 5.12. DPG-Frühjahrstagung der Sektion Atome, Moleküle, Quantenoptik und Plasmen (SAMOP), Hannover, March 08, 2020 - March 13, 2020. DPG, Bad Honnef (submitted)

Talk (11)

18.
Talk
Thun, T.; Merlo, A.; Böckenhoff, D.: Neural Networks as Solution Ansatz for the Ideal Magnetohydrodynamic Equilibrium Problem. DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK), Göttingen (submitted)
19.
Talk
Jakubowski, M.; Aymerich, E.; Böckenhoff, D.; Cannas, B.; Fellinger, J.; Gao, Y.; Jablonski, B.; Makowski, D.; Pisano, F.; Puig Sitjes, A. et al.: Controlling divertor power loads at Wendelstein 7-X. Summer School of Plasma Diagnostics: Artificial Intelligence for Plasma Diagnostics and Controlled Fusion (PhDiaFusion 2023), Niepolomice (submitted)
20.
Talk
Puig Sitjes, A.; Jablonski, B.; Pisano, F.; Aymerich, E.; Jakubowski, M.; Böckenhoff, D.; Gao, Y.; Makowski, D.; Cannas, B.; Sias, G. et al.: Analysis of IR data from W7-X: towards control of thermal loads with machine learning. International Conference on Research and Applications of Plasmas – PLASMA 2023, Warsaw (submitted)
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