Publications of D. Böckenhoff

Böckenhoff, D.; Blatzheim, M.; Hölbe, H.; Labahn, R.; Pedersen, T. S.: Protection of the First Wall of Wendelstein 7-X with Artificial Neural Networks. 82. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion AMOP, Erlangen (submitted)

Knieps, A.; Brenzke, M.; Böckenhoff, D.; Drews, P.; Endler, M.; Gao, Y.; Geiger, J.; Liang, Y.; Suzuki, Y.; Wiesen, S. et al.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Fast diagnostic mapping in non-nested magnetic topologies using 3D field compliant magnetic surface labels and neural network based interpolation. 48th EPS Conference on Plasma Physics, Virtual (submitted)

Aymerich, E.; Pisano, F.; Cannas, B.; Sias, G.; Fanni, A.; Gao, Y.; Böckenhoff, D.; Jakubowski, M.: Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X. 25th International Conference on Plasma Surface Interactions in Controlled Fusion Devices (PSI 25), Jeju (submitted)

Kharwandikar, A.; Boeckenhoff, D.; Bold, D.; Gao, Y.; Geiger, J.; Knieps, A.; Naujoks, D.; Pedersen, T. S.; Reimold, F.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Effect of W7-X divertor geometry modifications on PFC heat loads. 25th International Conference on Plasma Surface Interactions in Controlled Fusion Devices (PSI 25), Jeju (submitted)

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)

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)

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)

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)

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)

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)

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)

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

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.