Lukas Fuchs

Lukas Fuchs is a doctoral researcher at the Institute of Fluid Mechanics and Technical Acoustics (ISTA) within the Faculty V - Transportation and Mechanical Systems at the Technical University of Berlin. He focuses on the Dynamics of Turbulent Separation Bubbles using linearized modeling approaches and deep reinforcement learning techniques.

• Education: M.Sc. in Physical Engineering (TU Berlin), specialization in fluid mechanics and numerical mathematics
• Current Role: Scientific employee (PhD candidate) since March 2023

His research combines fluid dynamics with machine learning, particularly in:

• Reynolds-averaged Navier–Stokes (RANS) closure model identification
• Deep reinforcement learning (DRL) optimization for turbulence models
• Large eddy simulation (LES) data alignment
• Jet flow dynamics at varying Reynolds numbers

Notable Contributions: The 2024 publication demonstrates 48% improvement in RANS-LES alignment using DRL-augmented Spalart–Allmaras models, with cross-Reynolds number application capabilities. Challenges include computational costs, numerical stability, and hyperparameter sensitivity.