Publications of D. Böckenhoff
All genres
Journal Article (12)
1.
Journal Article
34, 101401 (2023)
Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X. Nuclear Materials and Energy 2.
Journal Article
63, 066020 (2023)
Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations. Nuclear Fusion 3.
Journal Article
62, 042022 (2022)
Experimental confirmation of efficient island divertor operation and successful neoclassical transport optimization in Wendelstein 7-X. Nuclear Fusion 4.
Journal Article
61, 106003 (2021)
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 5.
Journal Article
61, 096039 (2021)
Proof of concept of a fast surrogate model of the VMEC code via neural networks in Wendelstein 7-X scenarios. Nuclear Fusion 6.
Journal Article
161, 111902 (2020)
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 7.
Journal Article
59, 126029 (2019)
Neural network regression approaches to reconstruct properties of magnetic configuration from Wendelstein 7-X modeled heat load patterns. Nuclear Fusion 8.
Journal Article
59, 016012 (2019)
Neural network performance enhancement for limited nuclear fusion experiment observations supported by simulations. Nuclear Fusion 9.
Journal Article
59, 086031 (2019)
Application of improved analysis of convective heat loads on plasma facing components to Wendelstein 7-X. Nuclear Fusion 10.
Journal Article
59, 112004 (2019)
Overview of first Wendelstein 7-X high-performance operation. Nuclear Fusion 11.
Journal Article
59, 126012 (2019)
Scenario with combined density and heating control to reduce the impact of the bootstrap current in Wendelstein 7-X. Nuclear Fusion 12.
Journal Article
58, 056009 (2018)
Reconstruction of magnetic configurations in W7-X using artificial neural networks. Nuclear Fusion Meeting Abstract (1)
13.
Meeting Abstract
(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)
Fast neural network surrogates for VMEC MHD equilibrium code. In: Verhandlungen der Deutschen Physikalischen Gesellschaft, Talk (7)
14.
Talk
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)
15.
Talk
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)
16.
Talk
Deep Neural Network Based Reconstruction of Plasma Properties for Wendelstein 7-X. 2nd International Conference on Data Driven Plasma Science (ICDDPS), Marseille (submitted)
17.
Talk
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)
18.
Talk
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)
19.
Talk
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)
20.
Talk
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)