Publications of D. Böckenhoff
All genres
Journal Article (13)
2023
Journal Article
34, 101401 (2023)
Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X. Nuclear Materials and Energy
Journal Article
63, 066020 (2023)
Physics-regularized neural network of the ideal-MHD solution operator in Wendelstein 7-X configurations. Nuclear Fusion
Journal Article
18, P11012 (2023)
Accelerated Bayesian inference of plasma profiles with self-consistent MHD equilibria at W7-X via neural networks. Journal of Instrumentation 2022
Journal Article
62, 042022 (2022)
Experimental confirmation of efficient island divertor operation and successful neoclassical transport optimization in Wendelstein 7-X. Nuclear Fusion 2021
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
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 2020
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 2019
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
Journal Article
59, 016012 (2019)
Neural network performance enhancement for limited nuclear fusion experiment observations supported by simulations. Nuclear Fusion
Journal Article
59, 086031 (2019)
Application of improved analysis of convective heat loads on plasma facing components to Wendelstein 7-X. Nuclear Fusion
Journal Article
59, 112004 (2019)
Overview of first Wendelstein 7-X high-performance operation. Nuclear Fusion
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 2018
Journal Article
58, 056009 (2018)
Reconstruction of magnetic configurations in W7-X using artificial neural networks. Nuclear Fusion Meeting Abstract (1)
2019
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 (10)
2023
Talk
Controlling divertor power loads at Wendelstein 7-X. Summer School of Plasma Diagnostics: Artificial Intelligence for Plasma Diagnostics and Controlled Fusion (PhDiaFusion 2023), Niepolomice (submitted)
Talk
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 (submitted)
Talk
Neural Networks as ideal magnetohydrodynamic equilibrium solvers. DPG-Frühjahrstagung 2024, Greifswald (submitted)
2022
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)
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)
2019
Talk
Deep Neural Network Based Reconstruction of Plasma Properties for Wendelstein 7-X. 2nd International Conference on Data Driven Plasma Science (ICDDPS), Marseille (submitted)