Publikationen von D. Böckenhoff
Alle Typen
Zeitschriftenartikel (12)
1.
Zeitschriftenartikel
34, 101401 (2023)
Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X. Nuclear Materials and Energy 2.
Zeitschriftenartikel
63, 066020 (2023)
Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations. Nuclear Fusion 3.
Zeitschriftenartikel
62, 042022 (2022)
Experimental confirmation of efficient island divertor operation and successful neoclassical transport optimization in Wendelstein 7-X. Nuclear Fusion 4.
Zeitschriftenartikel
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.
Zeitschriftenartikel
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.
Zeitschriftenartikel
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.
Zeitschriftenartikel
59, 126029 (2019)
Neural network regression approaches to reconstruct properties of magnetic configuration from Wendelstein 7-X modeled heat load patterns. Nuclear Fusion 8.
Zeitschriftenartikel
59, 016012 (2019)
Neural network performance enhancement for limited nuclear fusion experiment observations supported by simulations. Nuclear Fusion 9.
Zeitschriftenartikel
59, 086031 (2019)
Application of improved analysis of convective heat loads on plasma facing components to Wendelstein 7-X. Nuclear Fusion 10.
Zeitschriftenartikel
59, 112004 (2019)
Overview of first Wendelstein 7-X high-performance operation. Nuclear Fusion 11.
Zeitschriftenartikel
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.
Zeitschriftenartikel
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, 08. März 2020 - 13. März 2020. DPG, Bad Honnef (eingereicht)
Fast neural network surrogates for VMEC MHD equilibrium code. In: Verhandlungen der Deutschen Physikalischen Gesellschaft, Vortrag (9)
14.
Vortrag
Controlling divertor power loads at Wendelstein 7-X. Summer School of Plasma Diagnostics: Artificial Intelligence for Plasma Diagnostics and Controlled Fusion (PhDiaFusion 2023), Niepolomice (eingereicht)
15.
Vortrag
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 (eingereicht)
16.
Vortrag
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 (eingereicht)
17.
Vortrag
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)
18.
Vortrag
Deep Neural Network Based Reconstruction of Plasma Properties for Wendelstein 7-X. 2nd International Conference on Data Driven Plasma Science (ICDDPS), Marseille (eingereicht)
19.
Vortrag
Neural Networks for Feature Extraction from Wendelstein 7-X Infra-Red Images. 3rd IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis, Vienna (eingereicht)
20.
Vortrag
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)