My research interests focus on the intersection of computational fluid dynamics and machine learning. In this context, my current project investigates learning-based methods for turbulence modelling with the aim of leveraging such methods to improve simulation accuracy and efficiency.
Since early 2020 I am a Ph.D. student in Nils Thuerey’s group.
E-mail: bjoern.list (at) tum.de
- Björn List, Li-Wei Chen, Nils Thuerey “Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss Functions and Optimisation Horizons“, Journal of Fluid Mechanics, 2022. [JFM, ArXiv, Code]
- Björn List, “Optimal Design of Dynamic Networks with Application to Multi-Agent Systems”, M.Sc. Thesis, Imperial College London, September 2019.
- Björn List, “Surface Tension Modelling in Smoothed Particle Hydrodynamics”, B.Sc. Thesis, Technische Universität München, June 2018.