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Michaël Bauerheim

Observed names: BAUERHEIM Michael, Bauerheim, M, Bauerheim, Michael, Bauerheim, Michaël, Baurheim, Michael, M Bauerheim, M. Bauerheim, Michael Bauerheim
Observed institutions: École Nationale de l’Aviation Civile, École Centrale de Lyon, Airbus (France), Université de Sherbrooke, Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Institut National Polytechnique de Toulouse, ETH Zurich, Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Laboratoire de Mécanique des Fluides et d'Acoustique, Safran (France), Université de Toulouse, ISAE-SUPAERO Recherche, Safran Aircraft Engines (France)
ORCID: 0000-0001-9550-9077
Observed ORCIDs: 0000-0001-9550-9077, 0000-0002-1184-4220
OpenAlex ID: A5024456459
An analytical model for azimuthal thermoacoustic modes in an annular chamber fed by an annular plenum
2013 · Michaël Bauerheim, Jean-François Parmentier, et al. · Combustion and Flame · 123
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Symmetry breaking of azimuthal thermo-acoustic modes in annular cavities: a theoretical study
2014 · M. Bauerheim, P. Salas, et al. · Journal of Fluid Mechanics · 89
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Progress in analytical methods to predict and control azimuthal combustion instability modes in annular chambers
2016 · M. Bauerheim, F. Nicoud, et al. · Physics of Fluids · 84
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A theoretical study of mean azimuthal flow and asymmetry effects on thermo-acoustic modes in annular combustors
2014 · M. Bauerheim, M. Cazalens, et al. · Proceedings of the Combustion Institute · 84
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Predicting the propagation of acoustic waves using deep convolutional neural networks
2021 · Antonio Alguacil, Michaël Bauerheim, et al. · Journal of Sound and Vibration · 55
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Neural fields for rapid aircraft aerodynamics simulations
2024 · Giovanni Catalani, Siddhant Agarwal, et al. · Scientific Reports · 52
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Sensitivity of LES-based harmonic flame response model for turbulent swirled flames and impact on the stability of azimuthal modes
2014 · M. Bauerheim, G. Staffelbach, et al. · Proceedings of the Combustion Institute · 49
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Towards an hybrid computational strategy based on Deep Learning for incompressible flows
2020 · Ekhi Ajuria Illarramendi, Antonio Alguacil, et al. · AIAA AVIATION Forum · 46
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Theoretical analysis of the mass balance equation through a flame at zero and non-zero Mach numbers
2014 · Michael Bauerheim, Franck Nicoud, et al. · Combustion and Flame · 46
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Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification
2016 · Luca Magri, Michael Bauerheim, et al. · Journal of Computational Physics · 45
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Transmission and reflection of acoustic and entropy waves through a stator–rotor stage
2016 · Michael Bauerheim, Ignacio Duran, et al. · Journal of Sound and Vibration · 43
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Symmetry breaking of azimuthal thermoacoustic modes: the UQ perspective
2016 · M. Bauerheim, A. Ndiaye, et al. · Journal of Fluid Mechanics · 37
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Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity
2016 · Luca Magri, Michael Bauerheim, et al. · Journal of Computational Physics · 36
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Performance and accuracy assessments of an incompressible fluid solver coupled with a deep convolutional neural network
2022 · Ekhi Ajuria Illarramendi, Michaël Bauerheim, et al. · Data-Centric Engineering · 35
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Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations
2021 · Cheng, Lionel, Illarramendi, Ekhi Ajuria, et al. · arXiv (Cornell University) · 34
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A comparative study of learning techniques for the compressible aerodynamics over a transonic RAE2822 airfoil
2022 · Giovanni Catalani, Daniel Costero, et al. · Computers & Fluids · 30
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A novel modal expansion method for low-order modeling of thermoacoustic instabilities in complex geometries
2019 · C. Laurent, M. Bauerheim, et al. · Combustion and Flame · 30
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Saturation of a turbulent mixing layer over a cavity: response to harmonic forcing around mean flows
2018 · E. Boujo, M. Bauerheim, et al. · Journal of Fluid Mechanics · 30
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Effects of Boundary Conditions in Fully Convolutional Networks for Learning Spatio-Temporal Dynamics
2021 · Antonio Alguacil, Wagner Gonçalves Pinto, et al. · Lecture notes in computer science · 24
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Experimental and numerical investigation of flames stabilised behind rotating cylinders: interaction of flames with a moving wall
2017 · P. Xavier, A. Ghani, et al. · Journal of Fluid Mechanics · 24
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Uncertainty Quantification of Thermoacoustic Instabilities in a Swirled Stabilized Combustor
2015 · A. Ndiaye, M. Bauerheim, et al. · ASME Turbo Expo: Turbomachinery Technical Conference and Exposition (GT) · 24
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DiffAirfoil: An Efficient Novel Airfoil Sampler Based on Latent Space Diffusion Model for Aerodynamic Shape Optimization
2024 · Zhen Wei, Edouard R. Dufour, et al. · AIAA AVIATION Forum · 21
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Discovering optimal flapping wing kinematics using active deep learning
2023 · Baptiste Corban, Michael Bauerheim, et al. · Journal of Fluid Mechanics · 21
Coaxial-Injector Surrogate Modeling Based on Reynolds-Averaged Navier–Stokes Simulations Using Deep Learning
2022 · M. Krügener, J. F. Zapata Usandivaras, et al. · Journal of Propulsion and Power · 18
Deconvoluting acoustic beamforming maps with a deep neural network
2021 · Wagner Gonçalves Pinto, Michaël Bauerheim, et al. · NOISE-CON proceedings · 16
Works count: 113
Citation count: 1,433
H-index: 21
I10-index: 37
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