Direct data-driven forecast of local turbulent heat flux in Rayleigh–Bénard convection S Pandey, P Teutsch, P Mäder, J Schumacher Physics of Fluids 34 (4), 2022 | 38 | 2022 |
Data-driven estimation of scalar quantities from planar velocity measurements by deep learning applied to temperature in thermal convection P Teutsch, T Käufer, P Mäder, C Cierpka Experiments in Fluids 64 (12), 1-18, 2023 | 10 | 2023 |
Flipped classroom: effective teaching for time series forecasting P Teutsch, P Mäder arXiv preprint arXiv:2210.08959, 2022 | 8 | 2022 |
Large-scale-aware data augmentation for reduced-order models of high-dimensional flows P Teutsch, MS Ghazijahani, F Heyder, C Cierpka, J Schumacher, P Mäder APL Machine Learning 3 (1), 2025 | 1 | 2025 |
Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system P Teutsch, P Pfeffer, M Sharifi Ghazijahani, C Cierpka, J Schumacher, ... APL Machine Learning 3 (1), 2025 | | 2025 |
A systematic study of Echo State Networks topologies for chaotic time series prediction J Viehweg, P Teutsch, P Mäder Neurocomputing 618, 129032, 2025 | | 2025 |
Machine learning-assisted simultaneous measurement of temperature and velocity in thermal convection T Käufer, P Teutsch, P Mäder, C Cierpka | | |