Wang, C.; Kaiser, T.; Meindl, M.; Oberleithner, K.; Polifke, W.; Lesshaft, L.
Identification of optimal linear perturbations in a premixed laminar flame by global resolvent analysis
73rd Annual Meeting of the APS Division of Fluid Dynamics
APS
2020

Doan, N.A.K.; Polifke, W.; Magri, L.
Autoencoded Reservoir Computing for the Spatio- Temporal Prediction of a Turbulent Flow
Bulletin of the American Physical Society
2020
Nov

Ghani, Ab.; Boxx, I.; Noren, C.
Data-Driven Identification of Nonlinear Flame Models
Journal of Engineering for Gas Turbines and Power
2020
142
12
Dec
121015

Orchini, A.; Magri, L.; Silva, C. F.; Mensah, G.A.; Moeck, J.P.
Degenerate perturbation theory in thermoacoustics: high-order sensitivities and exceptional points
Journal of Fluid Mechanics
2020
903
Nov
37

Doan, N.A.K.; Polifke, W.; Magri, L.
Physics-Informed Echo State Networks
Journal of Computational Science
2020
47
Nov
101237

McCartney, M; Indlekofer, T.; Polifke, W.
Online Detection of Combustion Instabilities Using Supervised Machine Learning
ASME Turbomachinery Technical Conference & Exposition
2020

McCartney, M.; Haeringer, M.; Polifke, W.
Comparison of Machine Learning Algorithms in the Interpolation and Extrapolation of Flame Describing Functions
Journal of Engineering for Gas Turbines and Power
2020
142
6
Jun
061009-10

Ghani, A.; Polifke, W.
Control of intrinsic thermoacoustic instabilities using hydrogen fuel
Proceedings of the Combustion Institute
2020

Doan, N.A.K.; Polifke, W.; Magri, L.
Learning Hidden States in a Chaotic System: A Physics-Informed Echo State Network Approach
Lecture Notes in Computer Science
Springer International Publishing
2020

Fournier, G.; Häringer, M.; Silva, C.; Polifke, W.
Low-Order Modeling to Investigate Clusters of ITA Modes in Annular Combustors
ASME Turbomachinery Technical Conference & Exposition
2020