| Heat transfer prediction for methane in regenerative cooling channels with neural networks G Waxenegger-Wilfing, K Dresia, JC Deeken, M Oschwald Journal of Thermophysics and Heat Transfer 34 (2), 347-357, 2020 | 36 | 2020 |
| Numerically efficient fatigue life prediction of rocket combustion chambers using artificial neural networks K Dresia, G Waxenegger-Wilfing, J Riccius, JC Deeken, M Oschwald Proceedings of the 8th European Conference for Aeronautics and Space Sciences, 2019 | 23 | 2019 |
| Multidisciplinary design optimization of reusable launch vehicles for different propellants and objectives K Dresia, S Jentzsch, G Waxenegger-Wilfing, RD Santos Hahn, J Deeken, ... Journal of Spacecraft and Rockets 58 (4), 1017-1029, 2021 | 18 | 2021 |
| A reinforcement learning approach for transient control of liquid rocket engines G Waxenegger-Wilfing, K Dresia, JC Deeken, M Oschwald arXiv preprint arXiv:2006.11108, 2020 | 16 | 2020 |
| Nonlinear control of an expander-bleed rocket engine using reinforcement learning K Dresia, G Waxenegger-Wilfing, RH Dos Santos Hahn, JC Deeken, ... | 15 | 2021 |
| Machine Learning Methods for the Design and Operation of Liquid Rocket Engines--Research Activities at the DLR Institute of Space Propulsion G Waxenegger-Wilfing, K Dresia, J Deeken, M Oschwald arXiv preprint arXiv:2102.07109, 2021 | 14 | 2021 |
| Hardware-in-the-loop tests of complex control software for rocket propulsion systems G Waxenegger-Wilfing, K Dresia, M Oschwald, K Schilling 71th International Astronautical Congress, IAC 2020, 2020 | 9 | 2020 |
| LUMEN-Design of the Regenerative Cooling System for an Expander Bleed Cycle Engine Using Methane J Haemisch, D Suslov, G Waxenegger-Wilfing, K Dresia, M Oschwald | 6 | 2021 |
| Preliminary Investigation of Robust Reinforcement Learning for Control of an Existing Green Propellant Thruster T Hörger, K Dresia, G Waxenegger-Wilfing, LK Werling, S Schlechtriem AIAA Propulsion and Energy 2021 Forum, 3223, 2021 | 3 | 2021 |
| Development of a test infrastructure for a neural network controlled green propellant thruster T Hörger, K Dresia, G Waxenegger-Wilfing, L Werling, S Schlechtriem 8th Space Propulsion Conference, 2022 | 2 | 2022 |
| Prediction of Heat Transfer in Methane for Liquid Rocket Engines Using Artificial Neural Networks K Dresia MS Thesis, RWTH Aachen Univ., Aachen, Germany, 2018 | 2 | 2018 |
| Intelligent Rocket Engine Control with Reinforcement Learning: Experimental Results of the LUMEN LNG Turbopump Test Campaign K Dresia, A Adler, G Waxenegger-Wilfing, T Traudt, J Deeken, ... AIAA SCITECH 2023 Forum, 0137, 2023 | | 2023 |
| AI-Assisted Control Systems for Rocket Engine Test Facilities within the ESA FLAME Program K Dresia, E Kurudzija, G Waxenegger-Wilfing, H Behler, D Auer, ... 8th Space Propulsion Conference, 2022 | | 2022 |
| LUMEN Evolution for Lunar Lander Propulsion RH Dos Santos Hahn, MT Gulczynski, E Kurudzija, K Dresia, ... European Space Agency, 2022 | | 2022 |
| Validierung eines neuronalen Netzes zur Wärmeübergangsvorhersage in Kühlkanälen anhand realistischer Brennkammeranordnungen unter Berücksichtigung von Krümmungseffekten und … L Jakobs, K Dresia RWTH Aachen, 2020 | | 2020 |
| AI-Assisted Control Systems for Rocket Engine Test Facilities within the ESA FLAME Program Estoril 2022 K Dresia, E Kurudzija, G Waxenegger-Wilfing, H Behler, D Auer, ... | | |
Günther Waxenegger-WilfingHead of System Analysis and Control Research Group at DLR Lampoldshausen, Professor at JMU WürzburgVerified email at dlr.de
