Publications of D. Böckenhoff

Poster (10)

21.
Poster
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. DPG-Tagung der Sektion Materie und Kosmos (SMuK), Virtual (submitted)
22.
Poster
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-informed neural network of the ideal-MHD model in Wendelstein 7-X configurations. DPG-Frühjahrstagung der Fachverbände Physik der Hadronen und Kerne, Plasmaphysik und des Arbeitskreises Beschleunigerphysik , Mainz, Virtual (submitted)
23.
Poster
Böckenhoff, D.; Blatzheim, M.; Merlo, A.; Jakubowski, M.; Pisano, F.; Niemann, H.; Pedersen, T. S.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Proxy Plasma State Reconstruction for a Reinforcement Learning Control System for Wendelstein 7-X. 24th International Conference on Plasma Surface Interactions in Controlled Fusion Devices (PSI 24) (virtual), Jeju (submitted)
24.
Poster
Blatzheim, M.; Böckenhoff, D.; Labahn, R.; Pedersen, T. S.; for the Wendelstein 7-X Team Collaboration: Artificial Neural Networks for Plasma Edge Analysis in Wendelstein 7-X. DPG-Frühjahrstagung 2019 der Sektion Materie und Kosmos (SMuK), München (submitted)
25.
Poster
Böckenhoff, D.; Blatzheim, M.; Labahn, R.; Pedersen, T. S.; for the Wendelstein 7-X Team Collaboration: Heat Load Control for Wendelstein 7-X with Machine Learning Approaches. DPG-Frühjahrstagung 2019 der Sektion Materie und Kosmos (SMuK), München (submitted)
26.
Poster
Blatzheim, M.; Böckenhoff, D.; Hölbe, H.; Pedersen, T. S.; Labahn, R.: Neural Net Applications for Plasma Edge Analysis in Wendelstein 7-X. DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK), Bremen (submitted)
27.
Poster
Böckenhoff, D.; Blatzheim, M.: Protection of the first wall of Wendelstein 7-X with neural nets. DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK), Bremen (submitted)

Thesis - PhD (1)

28.
Thesis - PhD
Böckenhoff, D. F.: En Route Towards Heat Load Control for Wendelstein 7-X with Machine Learning Approaches. Dissertation, 163 pp., Universität Greifswald, Greifswald (2019)

Report (1)

29.
Report
Böckenhoff, D. F.: En Route Towards Heat Load Control for Wendelstein 7-X with Machine Learning Approaches. Max-Planck-Institut für Plasmaphysik, Garching (2020), 157 pp.
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