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ORCIDGünther Waxenegger-Wilfing
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Journal Articles
- 2021
[j1]Günther Waxenegger-Wilfing
, Kai Dresia, Jan Christian Deeken, Michael Oschwald:
A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines. IEEE Trans. Aerosp. Electron. Syst. 57(5): 2938-2952 (2021)
Informal and Other Publications
- 2021
- [i6]Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald:
Machine Learning Methods for the Design and Operation of Liquid Rocket Engines - Research Activities at the DLR Institute of Space Propulsion. CoRR abs/2102.07109 (2021) - [i5]Ushnish Sengupta, Günther Waxenegger-Wilfing, Jan Martin, Justin Hardi, Matthew P. Juniper:
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning. CoRR abs/2107.06396 (2021) - 2020
- [i4]Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald:
A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines. CoRR abs/2006.11108 (2020) - [i3]Kai Dresia, Simon Jentzsch, Günther Waxenegger-Wilfing, Robson Hahn, Jan Christian Deeken, Michael Oschwald, Fabio Mota:
Multidisciplinary Design Optimization of Reusable Launch Vehicles for Different Propellants and Objectives. CoRR abs/2009.01664 (2020) - [i2]Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin, Wolfgang Armbruster, Justin Hardi, Matthew P. Juniper, Michael Oschwald:
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning. CoRR abs/2011.14985 (2020) - 2019
- [i1]Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken, Michael Oschwald:
Heat Transfer Prediction for Methane in Regenerative Cooling Channels with Neural Networks. CoRR abs/1907.11281 (2019)
Coauthor Index
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