Michaël Bertin

Commissariat à l'Énergie Atomique et aux Énergies Alternatives — France

Earth and Planetary Sciences · Physical Sciences

6h-index145citations34works7.32yr avg
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Research Topics

Seismic Waves and Analysis(15), Seismology and Earthquake Studies(10), Seismic Imaging and Inversion Techniques(9), Structural Health Monitoring Techniques(4), Seismic Performance and Analysis(3)

Publications34 total

Uncertainty propagation from crustal geologies to rock-site ground motion with a Fourier Neural Operator
European Journal of Environmental and Civil engineering·2024· 1 citedOpen Access
Synthetic ground motions in heterogeneous geologies from various sources: the HEMEW <sup>S</sup> -3D database
Earth system science data·2024· 4 citedOpen Access
Metamodèle de propagation d'onde sismique 3D par opérateur neuronal de Fourier (FNO) amélioré par l'apprentissage par transfert
SPIRE - Sciences Po Institutional REpository·2024Open Access
A deep learning-based earthquake simulator: from source and geology to surface wavefields
2024Open Access
Deep learning generative strategies to enhance 3D physics-based seismic wave propagation: from diffusive super-resolution to 3D Fourier Neural Operators.
2024Open Access
Understanding earthquake location uncertainties using global sensitivity analysis framework
Geophysical Journal International·2024· 5 citedOpen Access
Synthetic ground motions in heterogeneous geologies: the HEMEW-3D dataset for scientific machine learning
2024· 4 citedOpen Access
3D elastic wave propagation with a Factorized Fourier Neural Operator (F-FNO)
Computer Methods in Applied Mechanics and Engineering·2024· 44 citedOpen Access
Seismic hazard analysis with a Fourier Neural Operator (FNO) surrogate model enhanced by transfer learning
SPIRE - Sciences Po Institutional REpository·2023· 1 citedOpen Access
A variance reduction strategy for numerical random homogenization based on the equivalent inclusion method
Computer Methods in Applied Mechanics and Engineering·2023· 4 citedOpen Access
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
arXiv (Cornell University)·2023· 4 citedOpen Access
A variance reduction strategy for numerical random homogenization based on the equivalent inclusion method
arXiv (Cornell University)·2023Open Access
Advantages and promises of deep neural operators for the prediction of wave propagation
2023Open Access
Machine learning opportunities to reduce the dimension of uncertain complex geophysical media
2023Open Access
FOURIER NEURAL OPERATOR SURROGATE MODEL TO PREDICT 3D SEISMIC WAVES PROPAGATION
UNCECOMP Proceedings·2023· 14 citedOpen Access
A Comparison of Fourier Neural Operators (Fno) for 3d Elastic Wave Propagation
SSRN Electronic Journal·2023Open Access
Machine learning opportunities to conduct high-fidelity earthquake simulations in multi-scale heterogeneous geology
Frontiers in Earth Science·2022· 13 citedOpen Access
First calibration of the physics-based ground motion model of the 2019 Mw4.9 Le Teil earthquake (France)
2022Open Access
Using Bayesian model averaging to improve ground motion predictions
Geophysical Journal International·2019· 8 citedOpen Access
A dual lane piezoelectric ring bender actuated nozzle-flapper servo valve for aero engine fuel metering
Smart Materials and Structures·2019· 18 citedOpen Access
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Frequent Co-authors

Fanny Lehmann(15), Filippo Gatti(15), Didier Clouteau(15), Christophe Millet(7), Daniel Bouché(3), Sylvie Marin(2), Catherine Berge‐Thierry(2), Sébastien Brisard(2), Frédéric Legoll(2), Pierrick Mialle(2), Andrew Plummer(1), Chris Bowen(1), Nigel Johnston(1), Mike Griffiths(1), Dan Bickley(1), Marine Laporte(1), Jean Letort(1), Laurent Bollinger(1), Jean-Christophe Robinet(1), Damien Grenié(1)