Publications of D. Böckenhoff

Thun, T.; Merlo, A.; Böckenhoff, D.: Neural Networks as ideal magnetohydrodynamic equilibrium solvers. DPG-Frühjahrstagung 2024, Greifswald (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 machine learning to approximate the ideal-MHD solution operator in Wendelstein 7-X configurations. 86. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK), Dresden (submitted)

Thun, T.; Böckenhoff, D.; Pedersen, T. S.: Proof of principle of reinforcement learning applied to a low fidelity Wendelstein 7-X simulation environment. 16th Kudowa Summer School "Towards Fusion Energy", Kudowa-Zdroj (2022)

Blatzheim, M.; Böckenhoff, D.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Deep Neural Network Based Reconstruction of Plasma Properties for Wendelstein 7-X. 2nd International Conference on Data Driven Plasma Science (ICDDPS), Marseille (submitted)

Böckenhoff, D.: Neural Networks for Feature Extraction from Wendelstein 7-X Infra-Red Images. 3rd IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis, Vienna (submitted)

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 Bootstrap Current in Wendelstein 7-X. 9th International Workshop on "Stochasticity in Fusion Plasmas (SFP)" – 3D Physics in Stellarators and Tokamaks, Bad Honnef (2019)

Blatzheim, M.; Böckenhoff, D.; Hölbe, H.; Pedersen, T. S.; Labahn, R.: Analysing the performance of neural networks on reconstructing edge plasma properties in Wendelstein 7-X. 82. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion AMOP, Erlangen (submitted)

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)

Björk, L.; Reimold, F.; Kwak, S.; Böckenhoff, D.; Toussaint, U. v.; Grosinger, S.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Bayesian inference of plasma parameters in the island divertor of W7-X. DPG-Frühjahrstagung der Sektion Materie und Kosmos (SMuK), Göttingen (submitted)

Knieps, A.; Böckenhoff, D.; Bozhenkov, S.; Endler, M.; Feng, Y.; Geiger, J.; Liang, Y.; Liao, L.; Suzuki, Y.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: FusionSC – Simplifying the daily work in fusion device modeling. 50th EPS Conference on Plasma Physics, Salamanca (submitted)

Knieps, A.; Brenzke, M.; Böckenhoff, D.; Drews, P.; Endler, M.; Gao, Y.; Geiger, J.; Krämer-Flecken, A.; Liang, Y.; Reimold, F. et al.; Suzuki, Y.; Wiesen, S.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society: Application of neural-network-assisted flux surface mapping to diagnostic observations of the Wendelstein 7-X island divertor. 49th EPS Conference on Plasma Physics, Bordeaux (2023)

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 Interaction 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 Interaction 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)