| Machine learning-based optimal mesh generation in computational fluid dynamics K Huang, M Krügener, A Brown, F Menhorn, HJ Bungartz, D Hartmann arXiv preprint arXiv:2102.12923, 2021 | 35 | 2021 |
| Coaxial-injector surrogate modeling based on Reynolds-averaged Navier–Stokes simulations using deep learning M Krügener, JF Zapata Usandivaras, M Bauerheim, A Urbano Journal of Propulsion and Power 38 (5), 783-798, 2022 | 14 | 2022 |
| Datadriven emulation models for Rocket Engines Injector design JF Zapata Usandivaras, M Krügener, A Urbano, M Bauerheim, B Cuenot | | 2021 |
| Machine Learning and Simulation for Grid Optimization P Breier, Q Huang, M Krügener, O Voloshyn, M Zhao | | 2019 |
