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- Michaël Bauerheim
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Flux publications Open Science ISAE-SUPAERO
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Zapata Usandivaras Jose Felix, Bauerheim Michaël, Cuenot Bénédicte, Urbano Annafederica, Deep convolutional autoencoders for the time–space reconstruction of liquid rocket engine flames. 2024, Proceedings of the Combustion Institute. 40 (1-4). ISSN 1540-7489
Deep convolutional autoencoders for the time–space reconstruction of liquid rocket engine flames
Catalani Giovanni, Agarwal Siddhant, Bertrand Xavier, Tost Frederic, Bauerheim Michaël, Morlier Joseph, Neural fields for rapid aircraft aerodynamics simulations. 2024, Scientific Reports. 14. ISSN 2045-2322
Colombo Michele, Morlier Joseph, Bauerheim Michaël, Prediction of Gust Aeroelastic performance of HALE using Graph Neural Networks : AIAA SCITECH 2023 Forum. 2023, AIAA SCITECH 2023 Forum, 2023-01-23 - 2023-01-27 (2023-01-27, National Harbor)
Wei, Zhen, Guillard, Benoit, Fua Pascal, Chapin Vincent, Bauerheim Michaël, Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics. 2023, AIAA Journal. 61 (8). 3507-3525. ISSN 0001-1452
Latent Representation of Computational Fluid Dynamics Meshes and Application to Airfoil Aerodynamics
Corban, Baptiste, Bauerheim Michaël, Jardin Thierry, Discovering optimal flapping wing kinematics using active deep learning. 2023, Journal of Fluid Mechanics. 974 (A54). 1-28. ISSN 0022-1120
Discovering optimal flapping wing kinematics using active deep learning
Catalani, G, Costero, D, Bauerheim Michaël, Zampieri Luca, Chapin Vincent, Gourdain Nicolas, Baqué Pierre, A comparative study of learning techniques for the compressible aerodynamics over a transonic RAE2822 airfoil. 2023, Computers & Fluids. 251. 105759. ISSN 0045-7930
Arroyo-Ramo Andrea, Bauerheim Michaël, Moreau Stéphane, Wall-Pressure Spectrum Model Based on Artificial Neural Networks Predictions : Canadian Acoustics. 2023, Acoustics Week in Canada 2023, 2023-10-06 - 2023-10-03 (2023-10-03, Montreal)
Wall-Pressure Spectrum Model Based on Artificial Neural Networks Predictions : Canadian Acoustics
Ajuria-Illaramendi Ekhi, Bauerheim Michaël, Ashton Neil, Lapeyre, Corentin, Cuenot Bénédicte, Performance Study of Convolutional Neural Network Architectures for 3D Incompressible Flow Simulations : Proceedings of the Platform for Advanced Scientific Computing Conference. 2023, the Platform for Advanced Scientific Computing Conference PASC ’23, 2023-06-28 - 2023-06-26 (2023-06-26, Davos)
Arnould, Tiphaine, Bauerheim Michaël, Gojon Romain, Gressier Jérémie, Compact wall-model for high-order spectral difference numerical schemes. 2023, AIAA AVIATION 2023 Forum, 2023-06-16 - 2023-06-12 (2023-06-12, San Diego)
Compact wall-model for high-order spectral difference numerical schemes
Arroyo-Ramo Andrea, Moreau Stéphane, Sandberg Richard D., Bauerheim Michaël, Jacob Marc C., Controlled Diffusion airfoil self-noise, an acoustic far-field prediction : AIAA AVIATION 2023 Forum. 2023, AIAA AVIATION 2023 Forum, 2023-06-16 - 2023-06-12 (2023-06-12, San Diego)
Controlled Diffusion airfoil self-noise, an acoustic far-field prediction : AIAA AVIATION 2023 Forum
Alguacil Antonio, Bauerheim Michaël, Jacob Marc C., Moreau Stéphane, Correcting the Prediction of Noise Scattering at Sharp Edges for a Spatio-Temporal Deep Learned Acoustic Surrogate : AIAA AVIATION 2023 Forum. 2023, AIAA AVIATION 2023 Forum, 2023-06-16 - 2023-06-12 (2023-06-12, San Diego)
Wei, Zhen, Fua Pascal, Bauerheim Michaël, Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning : AIAA AVIATION 2023 Forum. 2023, AIAA AVIATION 2023 Forum, 2023-06-16 - 2023-06-12 (2023-06-12, San Diego)
Nastro Gabriele, Fiore Maxime, Gressier Jérémie, Bauerheim Michaël, Nonlinear dynamics, stability and sensitivity of a simplified dragonfly wing in gliding flight. 2023, 15th ERCOFTAC SIG 33 Workshop, 2023-06-30 - 2023-06-28 (2023-06-28, Alghero)
Nonlinear dynamics, stability and sensitivity of a simplified dragonfly wing in gliding flight
Maia, Igor, Gojon Romain, Bauerheim Michaël, Fiore Maxime, Nodé-Langlois Thomas, Wall-modelled LES of a high subsonic cavity flow at large Reynolds number. 2023, AIAA AVIATION 2023 Forum, 2023-06-16 - 2023-06-12 (2023-06-12, San Diego)
Wall-modelled LES of a high subsonic cavity flow at large Reynolds number
Corban, Baptiste, Fernex Daniel, Mullerners, Karen, Rachelson Emmanuel, Bauerheim Michaël, Jardin Thierry, Reinforcement learning for real-time flow control of vertical axis wind turbines. 2023, 76th Annual Meeting of the Division of Fluid Dynamics, 2023-11-21 - 2023-11-19 (2023-11-19, Washington, DC)
Reinforcement learning for real-time flow control of vertical axis wind turbines
Krügener Moritz, Zapata Usandivaras Jose Felix, Bauerheim Michaël, Urbano Annafederica, Coaxial-Injector Surrogate Modeling Based on Reynolds-Averaged Navier–Stokes Simulations Using Deep Learning. 2022, Journal of Propulsion and Power. 38 (5). ISSN 0748-4658
Vazquez Casique Raul, Viollet Marie-Lou, Bauerheim Michaël, Chapin Vincent, Gowree Erwin Ricky, Effect of sharp edges on the unsteady flow and aerodynamic performances of a Boxfish, towards bio-inspired low-drag bluff bodies. 2022, 56th 3AF International Conference on Applied Aerodynamics, 2022-03-28 - 2022-03-30 (2022-03-30, Toulouse)
Dominguez Alejandro, Tomé Joao, Gowree Erwin Ricky, Bauerheim Michaël, Bio-inspired vortex lift for enhanced manoeuvrability. 2022, 56th 3AF International Conference on Applied Aerodynamics, 2022-03-28 - 2022-03-30 (2022-03-30, Toulouse)
Ajuria-Illaramendi Ekhi, Bauerheim Michaël, Cuenot Bénédicte, Performance and accuracy assessments of an incompressible fluid solver coupled with a deep convolutional neural network. 2022, Data-Centric Engineering. 3 (e2). ISSN 2632-6736
Alguacil Antonio, Bauerheim Michaël, Jacob Marc C., Moreau Stéphane, Deep learning surrogate for the temporal propagation and scattering of acoustic waves. 2022, AIAA Journal. 60 (10). 5890-5906. ISSN 0001-1452
Deep learning surrogate for the temporal propagation and scattering of acoustic waves
Pinto Wagner Gonçalves, Alguacil Antonio, Bauerheim Michaël, On the reproducibility of fully convolutional neural networks for modeling time–space-evolving physical systems. 2022, Data-Centric Engineering. 3. 1-22
Zapata Usandivaras Jose Felix, Urbano Annafederica, Bauerheim Michaël, Cuenot Bénédicte, Data Driven Models for the Design of Rocket Injector Elements. 2022, Aerospace. 9 (594). ISSN 2226-4310
Data Driven Models for the Design of Rocket Injector Elements
Alguacil Antonio, Bauerheim Michaël, Becherucci Lorenzo, Jacob Marc C., Moreau Stéphane, Predicting the sound refraction on shear layers with deep neural networks : 28th AIAA/CEAS Aeroacoustics 2022 Conference. 2022, 28th AIAA/CEAS Aeroacoustics 2022 Conference, 2022-06-17 - 2022-06-14 (2022-06-14, Southampton)
Arroyo-Ramo Andrea, Moreau Stéphane, Sandberg Richard D., Bauerheim Michaël, Jacob Marc C., Direct Numerical Simulation of Controlled Diffusion airfoil self-noise : 28th AIAA/CEAS Aeroacoustics 2022 Conference. 2022, 28th AIAA/CEAS Aeroacoustics 2022 Conference, 2022-06-17 - 2022-06-14 (2022-06-14, Southampton)
Alguacil Antonio, Bauerheim Michaël, Jacob Marc C., Moreau Stéphane, Predicting the propagation of acoustic waves using deep convolutional neural networks. 2021, Journal of Sound and Vibration. 512. ISSN 0022-460X
Predicting the propagation of acoustic waves using deep convolutional neural networks
Ajuria-Illaramendi Ekhi, Bauerheim Michaël, Cuenot Bénédicte, Analysis of downscaled branches and Receptive field on a CNN-based incompressible solver. 2021, 74th Annual Meeting of the APS Division of Fluid Dynamics, 2021-11-21 - 2021-11-23 (2021-11-23, Phoenix)
Analysis of downscaled branches and Receptive field on a CNN-based incompressible solver
Alguacil Antonio, Pinto Wagner Gonçalves, Bauerheim Michaël, Jacob Marc C., Moreau Stéphane, Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics. 2021, Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2021-09-13 - 2021-09-17 (2021-09-17, Virtual event)
Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics
Alguacil Antonio, Bauerheim Michaël, Jacob Marc C., Moreau Stéphane, A generic deep learning framework for propagation and scattering of acoustic waves in quiescent flows. 2021, AIAA AVIATION 2021 FORUM, 2021-08-02 - 2021-08-06 (2021-08-06, Virtual event)
Berger Sandrine, Arroyo-Ramo Andrea, Guillet Valentin, Jardin Thierry, Rachelson Emmanuel, Bauerheim Michaël, Towards Reliable and Sample Efficient Deep Reinforcement Learning for Aerodynamics : a Benchmark Application. 2021, 74th Annual Meeting of the APS Division of Fluid Dynamics, 2021-11-21 - 2021-11-23 (2021-11-23, Phoenix)
Pinto Wagner Gonçalves, Bauerheim Michaël, Parisot-Dupuis Hélène, Deconvoluting acoustic beamforming maps with a deep neural network. 2021, Inter-noise 2021, 2021-08-01 - 2021-08-05 (2021-08-05, Virtual event)
Deconvoluting acoustic beamforming maps with a deep neural network
Zapata Usandivaras Jose Felix, Krügener Moritz, Urbano Annafederica, Bauerheim Michaël, Cuenot Bénédicte, Datadriven emulation models for Rocket Engines Injector design. 2021, IAC 2021 - 72nd International Astronautical Congress 2021, 2021-10-25 - 2021-10-30 (2021-10-30, Dubai)
Datadriven emulation models for Rocket Engines Injector design
Bauerheim Michaël, Chapin Vincent, Route to chaos on a dragonfly wing cross section in gliding flight. 2020, Physical Review E. 102 (1). 1-6. ISSN 1539-3755
Route to chaos on a dragonfly wing cross section in gliding flight
Ajuria-Illaramendi Ekhi, Alguacil Antonio, Bauerheim Michaël, Misdariis Antony, Cuenot Bénédicte, Benazera Emmanuel, Towards a hybrid computational strategy based on Deep Learning for incompressible flows. 2020, AIAA AVIATION FORUM, 2020-06-15 - 2020-06-19 (2020-06-19, Virtual Event)
Towards a hybrid computational strategy based on Deep Learning for incompressible flows
Alguacil Antonio, Bauerheim Michaël, Jacob Marc C., Moreau Stéphane, Predicting the Propagation of Acoustic Waves using Deep Convolutional Neural Networks. 2020, AIAA AVIATION FORUM, 2020-06-15 - 2020-06-19 (2020-06-19, Virtual Event)
Predicting the Propagation of Acoustic Waves using Deep Convolutional Neural Networks
Bauerheim Michaël, Boujo Edouard, Noiray Nicolas, Numerical analysis of the linear and nonlinear vortex-sound interaction in a T-junction. 2020, AIAA AVIATION FORUM, 2020-06-15 - 2020-06-19 (2020-06-19, Virtual Event)
Numerical analysis of the linear and nonlinear vortex-sound interaction in a T-junction
Bauerheim Michaël, Joly Laurent, LES of the aero-acoustic coupling in acoustic liners containing multiple cavities. 2020, AIAA AVIATION 2020 FORUM, 2020-06-15 - 2020-06-19 (2020-06-19, Virtual Event)
LES of the aero-acoustic coupling in acoustic liners containing multiple cavities
Laurent Charlélie, Bauerheim Michaël, Poinsot Thierry, Nicoud Franck, A novel modal expansion method for low-order modeling of thermoacoustic instabilities in complex geometries. 2019, Combustion and Flame. 206. 334-348. ISSN 0010-2180
Guo Shuai, Silva Camilo, Bauerheim Michaël, Ghani Abdulla, Polifke Wolfgang, Evaluating the impact of uncertainty in flame impulse response model on thermoacoustic instability prediction : A dimensionality reduction approach. 2019, Proceedings of the Combustion Institute. 37 (4). 5299-5306. ISSN 1540-7489
Berger Sandrine, Gourdain Nicolas, Bauerheim Michaël, Devillez Sébastien, Discharge coefficient of an orifice jet in cross flow : influence of inlet conditions and optimum velocity ratio. 2019, AIAA Aviation 2019 Forum, 2019-06-17 - 2019-06-21 (2019-06-21, Dallas)
Boujo Edouard, Bauerheim Michaël, Noiray Nicolas, Saturation of a turbulent mixing layer over a cavity : response to harmonic forcing around mean flows. 2018, Journal of Fluid Mechanics. 853. 1-35. ISSN 0022-1120
Saturation of a turbulent mixing layer over a cavity: response to harmonic forcing around mean flows
Bauerheim Michaël, Ndiaye Aissatou, Nicoud Franck, Surrogates for Combustion Instabilities in Annular Combustors : Uncertainty Management for Robust Industrial Design in Aeronautics. 2018« In :» Uncertainty Management for Robust Industrial Design in Aeronautics, Notes on Numerical Fluid Mechanics and Multidisciplinary Design. 978-3-319-77766-5
Xavier Pradip, Ghani Abdulla, Mejia Daniel, Miguel-Brebion Maxence, Bauerheim Michaël, Selle Laurent, Poinsot Thierry, Experimental and numerical investigation of flames stabilised behind rotating cylinders : interaction of flames with a moving wall. 2017, Journal of Fluid Mechanics. 813. 127-151. ISSN 0022-1120
Mejia Daniel, Bauerheim Michaël, Xavier Pradip, Ferret Bernard, Selle Laurent, Poinsot Thierry, Stabilization of a premixed laminar flame on a rotating cylinder. 2017, Proceedings of the Combustion Institute. 36 (1). 1447-1455. ISSN 1540-7489
Stabilization of a premixed laminar flame on a rotating cylinder
Magri Luca, Bauerheim Michaël, Juniper Matthew P., Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part I. Sensitivity. 2016, Journal of Computational Physics. 325. 395-410. ISSN 0021-9991
Bauerheim Michaël, Duran Ignacio, Livebardon Thomas, Wang Gaofeng, Moreau Stéphane, Poinsot Thierry, Transmission and reflection of acoustic and entropy waves through a stator–rotor stage. 2016, Journal of Sound and Vibration. 374. 260-278. ISSN 0022-460X
Transmission and reflection of acoustic and entropy waves through a stator–rotor stage
Bauerheim Michaël, Ndiaye Aissatou, Constantine Paul G., Moreau Stéphane, Nicoud Franck, Symmetry breaking of azimuthal thermoacoustic modes : the UQ perspective. 2016, Journal of Fluid Mechanics. 789. 534-566. ISSN 0022-1120
Symmetry breaking of azimuthal thermoacoustic modes: the UQ perspective
Magri Luca, Bauerheim Michaël, Nicoud Franck, Juniper Matthew P., Stability analysis of thermo-acoustic nonlinear eigenproblems in annular combustors. Part II. Uncertainty quantification. 2016, Journal of Computational Physics. 325. 411-421. ISSN 0021-9991
Bauerheim Michaël, Jaravel Thomas, Esclapez Lucas, Riber Eleonore, Gicquel Laurent Y.M., Cuenot Bénédicte, Cazalens Michel, Bourgois S., Rullaud M., Multiphase Flow Large-Eddy Simulation Study of the Fuel Split Effects on Combustion Instabilities in an Ultra-Low-NOxAnnular Combustor. 2016, ASME Turbo Expo 2015 : Turbine Technical Conference and Exposition (GT2015), 2015-06-15 - 2015-06-19 (2015-06-19, Montreal)
Becerril César, Moreau Stéphane, Bauerheim Michaël, Gicquel Laurent Y.M., Poinsot Thierry, Numerical investigation of combustion noise : The Entropy Wave Generator : 22nd AIAA/CEAS Aeroacoustics Conference. 2016, 22nd AIAA/CEAS Aeroacoustics Conference, 2016-05-30 - 2016-06-01 (2016-06-01, Lyon)
Roger Michel, François Benjamin, Bauerheim Michaël, Three-Dimensional Modeling of Annular Cascade Trailing-Edge Noise : 22nd AIAA/CEAS Aeroacoustics Conference. 2016, 22nd AIAA/CEAS Aeroacoustics Conference, 2016-05-30 - 2016-06-01 (2016-06-01, Lyon)
Bauerheim Michaël, Nicoud Franck, Poinsot Thierry, Progress in analytical methods to predict and control azimuthal combustion instability modes in annular chambers. 2016, Physics of Fluids. 28 (2). 021303. ISSN 1070-6631
Bauerheim Michaël, Poinsot Thierry, Analytical methods for azimuthal thermo-acoustic modes in annular combustion chambers. 2015, Annular Research Brief of CTR
Analytical methods for azimuthal thermo-acoustic modes in annular combustion chambers
Bauerheim Michaël, Jaravel Thomas, Esclapez Lucas, Riber Eleonore, Gicquel Laurent Y.M., Cuenot Bénédicte, Cazalens Michel, Bourgois S., Rullaud M., Multiphase Flow LES Study of the Fuel Split Effects on Combustion Instabilities in an Ultra Low-NOx Annular Combustor : Volume 4B : Combustion, Fuels and Emissions. 2015, Journal of Engineering for Gas Turbines and Power. 1-13. ISSN 0742-4795
Ndiaye Aissatou, Bauerheim Michaël, Moreau Stéphane, Nicoud Franck, Uncertainty Quantification of Thermoacoustic Instabilities in a Swirled Stabilized Combustor : Volume 2C : Turbomachinery. 2015, ASME Turbo Expo 2015 : Turbine Technical Conference and Exposition (GT2015), 2015-06-15 - 2015-06-19 (2015-06-19, Montreal)
Bauerheim Michaël, Nicoud Franck, Poinsot Thierry, Theoretical analysis of the mass balance equation through a flame at zero and non-zero Mach numbers. 2015, Combustion and Flame. 162 (1). 60-67. ISSN 0010-2180
Theoretical analysis of the mass balance equation through a flame at zero and non-zero Mach numbers
Bauerheim Michaël, Cazalens Michel, Poinsot Thierry, A theoretical study of mean azimuthal flow and asymmetry effects on thermo-acoustic modes in annular combustors. 2015, Proceedings of the Combustion Institute. 35 (3). 3219-3227
Bauerheim Michaël, Staffelbach Gabriel, Worth Nick A, Dawson James, Gicquel Laurent Y.M., Poinsot Thierry, Sensitivity of LES-based harmonic flame response model for turbulent swirled flames and impact on the stability of azimuthal modes. 2015, Proceedings of the Combustion Institute. 35 (3). 3355-3363. ISSN 1540-7489
Juniper Matthew P., Magri Luca, Bauerheim Michaël, Nicoud Franck, Sensitivity analysis of thermo-acoustic eigenproblems with adjoint methods. 2014, CTR - Summer Program, 2014-07-06 - 2014-08-01 (2014-08-01, Stanford)
Sensitivity analysis of thermo-acoustic eigenproblems with adjoint methods
Bauerheim Michaël, Ndiaye Aissatou, Constantine Paul G., Iaccarino Gianluca, Moreau Stéphane, Nicoud Franck, Uncertainty quantification of thermo-acoustic instabilities in annular combustors. 2014, CTR - Summer program, 2014-07-06 - 2014-08-01 (2014-08-01, Stanford)
Uncertainty quantification of thermo-acoustic instabilities in annular combustors
Courtine Emilien, Selle Laurent, Nicoud Franck, Polifke Wolfgang, Silva Camilo, Bauerheim Michaël, Poinsot Thierry, Causality and intrinsic thermoacoustic instability modes. 2014, CTR - Summer Program, 2014-07-06 - 2014-08-01 (2014-08-01, Stanford)
Bauerheim Michaël, Parmentier Jean-François, Salas Pablo, Nicoud Franck, Poinsot Thierry, An analytical model for azimuthal thermoacoustic modes in an annular chamber fed by an annular plenum. 2014, Combustion and Flame. 161 (5). 1374-1389. ISSN 0010-2180
Bauerheim Michaël, Salas Pablo, Nicoud Franck, Poinsot Thierry, Symmetry breaking of azimuthal thermo-acoustic modes in annular cavities : a theoretical study. 2014, Journal of Fluid Mechanics. ISSN 0022-1120
Symmetry breaking of azimuthal thermo-acoustic modes in annular cavities: a theoretical study
Guo, Shuai, Silva, Camilo, Bauerheim, Michaël, Ghani, Abdulla, Polifke, Wolfgang, Evaluating the impact of uncertainty in flame impulse response model on thermoacoustic instability prediction : A dimensionality reduction approach
Boujo, Edouard, Bauerheim, Michaël, Noiray, Nicolas, Saturation of a turbulent mixing layer over a cavity : response to harmonic forcing around mean flows
Saturation of a turbulent mixing layer over a cavity: response to harmonic forcing around mean flows
Alguacil, Antonio, Jacob, Marc, Bauerheim, Michaël, Moreau, Stephane, Predicting the Propagation of Acoustic Waves using Deep Convolutional Neural Networks
Predicting the Propagation of Acoustic Waves using Deep Convolutional Neural Networks
Godé, Hadrien, KRUSE, Carola, Angersbach, Richard, Köstler, Harald, Bauerheim, Michaël, Rüde, Ulrich, Comparison of multigrid and machine learning-based Poisson solvers
Comparison of multigrid and machine learning-based Poisson solvers
Alguacil, Antonio, Pinto, Wagner Gonçalves, Bauerheim, Michael, Jacob, Marc C., Moreau, Stéphane, Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics
Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics
Cances, Mathieu, Giraud, Luc, Bauerheim, Michael, Gicquel, Laurent, Nicoud, Franck, Robustness and reliability of state-space, frame-based modeling for thermoacoustics
Robustness and reliability of state-space, frame-based modeling for thermoacoustics
Arroyo Ramo, Andrea, Moreau, Stéphane, Sandberg, Richard, Bauerheim, Michaël, Jacob, Marc, Controlled Diffusion airfoil self-noise, an acoustic far-field prediction
Controlled Diffusion airfoil self-noise, an acoustic far-field prediction
Bauerheim, Michaël, Joly, Laurent, LES of the aero-acoustic coupling in acoustic liners containing multiple cavities
LES of the aero-acoustic coupling in acoustic liners containing multiple cavities
Colombo, Michele, Morlier, Joseph, Bauerheim, Michaël, Prediction of Gust Aeroelastic performance of HALE using Graph Neural Networks
Prediction of Gust Aeroelastic performance of HALE using Graph Neural Networks
Ajuria-Illaramendi, Ekhi, Alguacil, Antonio, Bauerheim, Michaël, Misdariis, Antony, Cuenot, Bénédicte, Benazera, Emmanuel, Towards a hybrid computational strategy based on Deep Learning for incompressible flows
Towards a hybrid computational strategy based on Deep Learning for incompressible flows
Alguacil, Antonio, Bauerheim, Michaël, Jacob, Marc, Moreau, Stéphane, Predicting the Propagation of Acoustic Waves using Deep Convolutional Neural Networks
Predicting the Propagation of Acoustic Waves using Deep Convolutional Neural Networks
Laurent, Charlélie, Bauerheim, Michaël, Poinsot, Thierry, Nicoud, Franck, A novel modal expansion method for low-order modeling of thermoacoustic instabilities in complex geometries
Arroyo Ramo, Andrea, Moreau, Stéphane, Sandberg, Richard, Bauerheim, Michaël, Jacob, Marc, Direct Numerical Simulation of Controlled Diffusion airfoil self-noise
Direct Numerical Simulation of Controlled Diffusion airfoil self-noise
Murali, Amal Roy, Boudet, Jérôme, Guiho, Florian, Jacob, Marc, Bauerheim, Michaël, Moreau, Stephane, Noise Radiation and Dynamics of Slat Cove Vortices Revisited in Light of a Parametric LBM Study
Noise Radiation and Dynamics of Slat Cove Vortices Revisited in Light of a Parametric LBM Study
Dominguez, Alejandro, Tomé, Joao, Gowree, Erwin Ricky, Bauerheim, Michaël, Bio-inspired vortex lift for enhanced manoeuvrability
Bauerheim, Michaël, Boujo, Edouard, Noiray, Nicolas, Numerical analysis of the linear and nonlinear vortex-sound interaction in a T-junction
Numerical analysis of the linear and nonlinear vortex-sound interaction in a T-junction
Alguacil, Antonio, Bauerheim, Michaël, Jacob, Marc, Moreau, Stéphane, Correcting the Prediction of Noise Scattering at Sharp Edges for a Spatio-Temporal Deep Learned Acoustic Surrogate
Alguacil, Antonio, Bauerheim, Michael, Jacob, Marc, Moreau, Stéphane, Deep Learning Surrogate for the Temporal Propagation and Scattering of Acoustic Waves
Deep Learning Surrogate for the Temporal Propagation and Scattering of Acoustic Waves
Arroyo Ramo, Andrea, Alguacil, Antonio, Bauerheim, Michaël, Moreau, Stephane, Jacob, Marc, Artificial Neural Networks Prediction of Wall-Pressure Spectrum
Artificial Neural Networks Prediction of Wall-Pressure Spectrum
Krügener, Moritz, Zapata Usandivaras, Jose Felix, Bauerheim, Michaël, Urbano, Annafederica, Coaxial-Injector Surrogate Modeling Based on Reynolds-Averaged Navier–Stokes Simulations Using Deep Learning
Vazquez Casique, Raul, Viollet, Marie-Lou, Bauerheim, Michaël, Chapin, Vincent, Gowree, Erwin Ricky, Effect of sharp edges on the unsteady flow and aerodynamic performances of a Boxfish, towards bio-inspired low-drag bluff bodies
Alguacil, Antonio, Bauerheim, Michaël, Jacob, Marc C., Moreau, Stéphane, Predicting the propagation of acoustic waves using deep convolutional neural networks
Predicting the propagation of acoustic waves using deep convolutional neural networks
Bauerheim, Michaël, Chapin, Vincent, Route to chaos on a dragonfly wing cross section in gliding flight
Route to chaos on a dragonfly wing cross section in gliding flight
Alguacil, Antonio, Bauerheim, Michaël, Becherucci, Lorenzo, Jacob, Marc, Moreau, Stephane, Predicting the sound refraction on shear layers with deep neural networks
Predicting the sound refraction on shear layers with deep neural networks
Berger, Sandrine, Gourdain, Nicolas, Bauerheim, Michaël, Devillez, Sébastien, Discharge coefficient of an orifice jet in cross flow : influence of inlet conditions and optimum velocity ratio
Alguacil, Antonio, Bauerheim, Michaël, Jacob, Marc, Moreau, Stéphane, A generic deep learning framework for propagation and scattering of acoustic waves in quiescent flows