Papers

A low-variance subspace underlies individual differences in resting state fMRI

A. Borovykh, M. Weissenbacher, S. Noble and M. Shinn

Link to preprint

Reinforcement Learning Increases Wind Farm Power Production by Enabling Closed-Loop Collaborative Control

A. Mole, M. Weissenbacher, G. Rigas and S. Laizet

Link to preprint

Mode stability of blow-up for wave maps in the absence of symmetry

M. Weissenbacher, H. Koch and R. Donninger

Link to preprint

Reinforcement Learning of Chaotic Systems Control in Partially Observable Environments

M. Weissenbacher, A. Borovykh and G. Rigas

Flow Turbulence and Combustion, 2025

Link to paper

Scientific machine learning based framework to forecast time evolving pressure signals during hydrogen leaks

G. Tretola, M. Weissenbacher and K. Vogiatzaki

International Journal of Hydrogen Energy, 2025

Link to paper

Decay and non-decay for the massless Vlasov equation on subextremal and extremal Reissner-Nordström black holes

M. Weissenbacher

Archive for Rational Mechanics, 2024

Link to paper

Conferences

Wake Dynamics of Heavy Road Vehicles: Characterization and Control with Rear Flaps

X. Jiang, J. Zhang, M. Weissenbacher, I. Fumarola and G. Rigas

DFD annual meeting of the American Physical Society, 2024

Link to abstract

Model Based Reinforcement Learning for chaotic flow control

P. Gupta, M. Weissenbacher and G. Rigas

DFD annual meeting of the American Physical Society, 2024

Link to abstract

Reinforcement learning for turbulent drag reduction of realistic road vehicles with dynamic flaps

J. Zhang, I. Fumarola, M. Weissenbacher, X. Jiang and G. Rigas

DFD annual meeting of the American Physical Society, 2024

Link to abstract

Drag reduction for heavy road vehicles with rear flaps

X. Jiang, J. Zhang, M. Weissenbacher, I. Fumarola and G. Rigas

European Drag Reduction and Flow Control Meeting, 2024

Link to abstract

Static and Dynamic Control for Wind Farm Wake Steering using LES

A. Mole, M. Weissenbacher and S. Laizet

1st European Fluid Dynamics Conference, 2024

Link to abstract

CHAROT: Robustly controlling chaotic PDEs with partial observations

M. Weissenbacher, A. Borovykh and G. Rigas

ICLR Workshop on AI4Differential Equations In Science, 2024

Link to paper