| Leveraging stochastic predictions of bayesian neural networks for fluid simulations M Mueller, R Greif, F Jenko, N Thuerey arXiv preprint arXiv:2205.01222, 2022 | 7 | 2022 |
| HW2D: A reference implementation of the Hasegawa-Wakatani model for plasma turbulence in fusion reactors R Greif Journal of Open Source Software 8 (92), 5959, 2023 | 3 | 2023 |
| Physics-preserving AI-accelerated simulations of plasma turbulence R Greif, F Jenko, N Thuerey arXiv preprint arXiv:2309.16400, 2023 | 3 | 2023 |
| Accelerating Hasegawa-Wakatani simulations with machine learning for out-of-distribution predictions V Artigues, R Greif, F Jenko Plasma Physics and Controlled Fusion, 2025 | | 2025 |
| AI-enhanced Large Eddy Simulation for plasma fluid turbulence R Greif Bulletin of the American Physical Society, 2024 | | 2024 |
| Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence in Nuclear Fusion Devices RCC Greif BoD–Books on Demand, 2024 | | 2024 |
| Physics-Preserving AI-Accelerated Simulations of Turbulent Transport R Greif, N Thuerey, F Jenko IAEA Workshop on AI for Accelerating Fusion and Plasma Science, 2023 | | 2023 |
| AI based Larde Eddy Simulations for Turbulence in Fusion Reactors R Greif, F Jenko, N Thuerey 86. Jahrestagung der DPG und DPG-Frühjahrstagung der Sektion Materie und …, 2023 | | 2023 |
| Viability of NN-based Predictor-Corrector Schemes for Plasma Simulations R Greif, F Jenko, N Thuerey DPG, 2019 | | 2019 |
