Machine learning methods for modeling turbulence in Large Eddy Simulations. Verlag Dr. Hut, München, 2024. [PUMA: diss mult phsimtech ubs_10006 ubs_20010 ubs_30091 ubs_40136 ubs_40137 unibibliografie]
Toward discretization-consistent closure schemes for large eddy simulation using reinforcement learning. Physics of fluids, (35)12:125122, AIP publishing, 2023. [PUMA: ubs_10006 ubs_20010 ubs_30091 ubs_40137 unibibliografie wos]
The near-wake development of a wind turbine operating in stalled conditions : Part 1: Assessment of numerical models. Wind energy science, (9)4:933-962, Copernicus Publications, 2024. [PUMA: f2023 gold oafonds ubs_10006 ubs_20010 ubs_30091 ubs_40136 unibiblio]
High-fidelity aeroelastic analyses of wind turbines in complex terrain. Verlag Dr. Hut, München, 2024. [PUMA: diss phf06 ubs_10006 ubs_20010 ubs_30091 unibibliografie]
GALÆXI Application: NASA Rotor 37. 2024. [PUMA: darus mult ubs_10006 ubs_20010 ubs_30091 ubs_40136 ubs_40137 unibibliografie]
GALÆXI Verification: Convergence Tests. 2024. [PUMA: darus mult ubs_10006 ubs_20010 ubs_30091 ubs_40136 ubs_40137 unibibliografie]
GALÆXI Validation: Taylor-Green Vortex. 2024. [PUMA: darus mult ubs_10006 ubs_20010 ubs_30091 ubs_40136 ubs_40137 unibibliografie]
GALÆXI Scaling. 2024. [PUMA: darus mult ubs_10006 ubs_20010 ubs_30091 ubs_40136 ubs_40137 unibibliografie]
Noise Prediction of a Distributed Propulsion System Using the Actuator Line Method. AIAA journal, (62)3American Institute of Aeronautics and Astronautics, 2024. [PUMA: ubs_10006 ubs_20010 ubs_30091 ubs_40136 unibibliografie wos]
Numerical wind potential analysis in urban environments. Stuttgart, 2024. [PUMA: diss oa phf06 ubs_10006 ubs_20010 ubs_30091 unibibliografie]