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articles
1.Antonio ALGUACILorcid_16x16.png, Michaël BAUERHEIMorcid_16x16.png, Marc C. JACOBorcid_16x16.png, Stéphane MOREAUorcid_16x16.png (2022).
Deep learning surrogate for the temporal propagation and scattering of acoustic waves
AIAA J. (17 pages). doi:10.2514/1.J061495 doi.ico hal.ico openalex-16x16.png
2.Antonio ALGUACILorcid_16x16.png, Michaël BAUERHEIMorcid_16x16.png, Marc C. JACOBorcid_16x16.png, Stéphane MOREAUorcid_16x16.png (2021).
Predicting the propagation of acoustic waves using deep convolutional neural networks
J. Sound Vib. 512, 116285 (23 pages). doi:10.1016/j.jsv.2021.116285 doi.ico hal.ico openalex-16x16.png
3.D. MEJIA, Michaël BAUERHEIMorcid_16x16.png, P. XAVIER, B. FERRET, L. SELLE, Thierry POINSOT (2017).
Stabilization of a premixed laminar flame on a rotating cylinder
Proc. Combust. Inst. 36, 1447–1455. doi:10.1016/j.proci.2016.06.138 doi.ico hal.ico openalex-16x16.png
4.Michaël BAUERHEIMorcid_16x16.png, Ignacio DURAN, Thomas LIVEBARDON, Gaofeng WANG, Stéphane MOREAUorcid_16x16.png, Thierry POINSOT (2016).
Transmission and reflection of acoustic and entropy waves through a stator-rotor stage
J. Sound Vib. 374, 260–278. doi:10.1016/j.jsv.2016.03.041 doi.ico hal.ico openalex-16x16.png
 
thèses/hdr
1.Antonio ALGUACILorcid_16x16.png (dir.: Michaël BAUERHEIM, Marc C. JACOB, Stéphane MOREAU) (2022).
Predicting the Propagation of Acoustic Waves in Complex Media with Deep Neural Networks
Thèse Institut Supérieur de l'Aéronautique et de l'Espace
 
communications avec actes
1.Andrea ARROYO RAMO, Stéphane MOREAUorcid_16x16.png, Richard D. SANDBERGorcid_16x16.png, Michaël BAUERHEIMorcid_16x16.png, Marc C. JACOBorcid_16x16.png (2023).
Controlled diffusion airfoil self-noise, an acoustic far-field prediction
2023 AIAA Aviation and Aeronautics Forum and Exposition, San Diego, United States. doi:10.2514/6.2023-3505 doi.ico
In: Patrick YEE (Ed.), Alexandre DELACHE (Ed.), Daniel DELAURENTIS (Ed.), Geoffrey JERAM (Ed.), Vincent SCHULTZ (Ed.), Darrell CROWE (Ed.), Proceedings of the 2023 AIAA Aviation and Aeronautics Forum and Exposition, AIAA, Reston, Virginia, USA, 2023-3505 (16 pages). doi:10.2514/6.2023-3505 doi.ico
2.Antonio ALGUACILorcid_16x16.png, Michaël BAUERHEIMorcid_16x16.png, Marc C. JACOBorcid_16x16.png, Stéphane MOREAUorcid_16x16.png (2023).
Correcting the prediction of noise scattering at sharp edges for a spatio-temporal deep learned acoustic surrogate
2023 AIAA Aviation and Aeronautics Forum and Exposition, San Diego, United States. doi:10.2514/6.2023-3341 doi.ico
In: Patrick YEE (Ed.), Alexandre DELACHE (Ed.), Daniel DELAURENTIS (Ed.), Geoffrey JERAM (Ed.), Vincent SCHULTZ (Ed.), Darrell CROWE (Ed.), Proceedings of the 2023 AIAA Aviation and Aeronautics Forum and Exposition, AIAA, Reston, Virginia, USA, 2023-3341 (19 pages). doi:10.2514/6.2023-3341 doi.ico
3.Andrea ARROYO RAMO, Stéphane MOREAUorcid_16x16.png, Richard D. SANDBERGorcid_16x16.png, Michaël BAUERHEIMorcid_16x16.png, Marc C. JACOBorcid_16x16.png (2022).
Direct Numerical Simulation of Controlled Diffusion airfoil self-noise
28th AIAA/CEAS Aeroacoustics 2022 Conference, Southampton, United Kingdom. doi:10.2514/6.2022-2815 doi.ico hal.ico
In: proceeding of the 28th AIAA/CAES Aeroacoustics 2022 Conference , AIAA, Reston, Virginia, USA, Paper n°2022-2815 (18 pages). doi:10.2514/6.2022-2815 doi.ico hal.ico
4.Antonio ALGUACILorcid_16x16.png, Michaël BAUERHEIMorcid_16x16.png, Lorenzo BECHERUCCI, Marc C. JACOBorcid_16x16.png, Stéphane MOREAUorcid_16x16.png (2022).
Predicting the sound refraction on shear layers with deep neural networks
28th AIAA/CEAS Aeroacoustics 2022 Conference, Southampton, United Kingdom. doi:10.2514/6.2022-2841 doi.ico hal.ico
In: proceeding of the 28th AIAA/CAES Aeroacoustics 2022 Conference , AIAA, Reston, Virginia, USA, AIAA Paper n°2022-2841 (9 pages). doi:10.2514/6.2022-2841 doi.ico hal.ico
5.Antonio ALGUACILorcid_16x16.png, Michaël BAUERHEIMorcid_16x16.png, Marc C. JACOBorcid_16x16.png, Stéphane MOREAUorcid_16x16.png (2021).
A generic deep learning framework for propagation and scattering of acoustic waves in quiescent flows
27th AIAA/CEAS Aeroacoustics Conference / Aviation 2021, virtual, United States. doi:0.2514/6.2021-2239 doi.ico hal.ico
In: Proceedings of the 27th AIAA/CEAS Aeroacoustics Conference , AIAA, Reston, Virginia, USA, Paper n°2021-2239 (22 pages). doi:0.2514/6.2021-2239 doi.ico hal.ico
6.Antonio ALGUACILorcid_16x16.png, Michaël BAUERHEIMorcid_16x16.png, Marc C. JACOBorcid_16x16.png, Stéphane MOREAUorcid_16x16.png, Wagner GONÇALVES PINTOorcid_16x16.png (2021).
Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases / ECML PKDD 2021, Bilbao / virtual, Spain. doi:10.1007/978-3-030-86517-7_7 doi.ico hal.ico
In: Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge in Databases (ECML PKDD 2021), , . doi:10.1007/978-3-030-86517-7_7 doi.ico hal.ico
7.Antonio ALGUACILorcid_16x16.png, Michaël BAUERHEIMorcid_16x16.png, Marc C. JACOBorcid_16x16.png, Stéphane MOREAUorcid_16x16.png (2020).
Predicting the Propagation of Acoustic Waves using Deep Convolutional Neural Networks
26th AIAA/CEAS Aeroacoustics Conference / Aviation 2020, Reno / virtual, United States. doi:10.2514/6.2020-2513 doi.ico hal.ico
In: Proceedings of the 26th AIAA/CEAS Aeroacoustics Conference , AIAA, Reston, Virginia, USA, Paper n° 2020-2513 (18 pages). doi:10.2514/6.2020-2513 doi.ico hal.ico
 
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