How well are we able to close the water budget at the global scale? F Lehmann, BD Vishwakarma, J Bamber Hydrology and Earth System Sciences 26 (1), 35-54, 2022 | 62 | 2022 |
3D elastic wave propagation with a factorized Fourier neural operator (F-FNO) F Lehmann, F Gatti, M Bertin, D Clouteau Computer Methods in Applied Mechanics and Engineering 420, 116718, 2024 | 24 | 2024 |
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation F Lehmann, F Gatti, M Bertin, D Clouteau arXiv preprint arXiv:2304.10242, 2023 | 23 | 2023 |
Association of daily temperature with suicide mortality: a comparison with other causes of death and characterization of possible attenuation across 5 decades F Lehmann, PE Alary, G Rey, R Slama American journal of epidemiology 191 (12), 2037-2050, 2022 | 18 | 2022 |
Machine learning opportunities to conduct high-fidelity earthquake simulations in multi-scale heterogeneous geology F Lehmann, F Gatti, M Bertin, D Clouteau Frontiers in Earth Science 10, 2194, 2022 | 16 | 2022 |
Performance analysis of a novel high frequency self-reconfigurable battery R Thomas, F Lehmann, J Blatter, G Despesse, V Heiries World Electric Vehicle Journal 12 (1), 10, 2021 | 10 | 2021 |
Synthetic ground motions in heterogeneous geologies: the HEMEW-3D dataset for scientific machine learning F Lehmann, F Gatti, M Bertin, D Clouteau Earth System Science Data Discussions 2024, 1-26, 2024 | 6 | 2024 |
Multiple-Input Fourier Neural Operator (MIFNO) for source-dependent 3D elastodynamics F Lehmann, F Gatti, D Clouteau arXiv preprint arXiv:2404.10115, 2024 | 5 | 2024 |
Seismic hazard analysis with a Factorized Fourier Neural Operator (F-FNO) surrogate model enhanced by transfer learning F Lehmann, F Gatti, M Bertin, D Clouteau NeurIPS 2023 AI for Science Workshop, 2023 | 4 | 2023 |
Closing the water budget at the global scale using observations, remote sensing, and reanalyses F Lehmann, B Dutt Vishwakarma, J Bamber EGU General Assembly Conference Abstracts, EGU21-10270, 2021 | 4 | 2021 |
Synthetic ground motions in heterogeneous geologies from various sources: the HEMEW-3D database F Lehmann, F Gatti, M Bertin, D Clouteau Earth System Science Data 16 (9), 3949-3972, 2024 | 3 | 2024 |
Uncertainty propagation from crustal geologies to rock-site ground motion with a Fourier Neural Operator F Lehmann, F Gatti, M Bertin, D Grenié, D Clouteau European Journal of Environmental and Civil Engineering, 1-18, 2024 | 1 | 2024 |
Deep learning generative strategies to enhance 3D physics-based seismic wave propagation: from diffusive super-resolution to 3D Fourier Neural Operators. F Gatti, F Lehmann, H Gabrielidis, M Bertin, D Clouteau, S Vialle European Geophysical Union General Assembly 2024, 2024 | 1 | 2024 |
A surrogate model of elastic wave propagation to quantify uncertainties in seismic hazard analysis F Lehmann Université Paris-Saclay, 2024 | | 2024 |
Metamodèle de la propagation d'ondes sismiques 3D par opérateur neuronal de Fourier (FNO) amélioré avec un transfert d'apprentissage. F Lehmann, F Gatti, M Bertin, D Clouteau 16ème Colloque National en Calcul des Structures, 2024 | | 2024 |
A deep learning-based earthquake simulator: from source and geology to surface wavefields F Lehmann, F Gatti, M Bertin, D Clouteau EGU24, 2024 | | 2024 |
Infrasound propagation with deep neural operators C Millet, E Noele, F Lehmann The Journal of the Acoustical Society of America 155 (3_Supplement), A73-A73, 2024 | | 2024 |
Advantages and promises of deep neural operators for the prediction of wave propagation F Lehmann, F Gatti, M Bertin, D Clouteau EGU General Assembly Conference Abstracts, EGU-5068, 2023 | | 2023 |
Machine learning opportunities to reduce the dimension of uncertain complex geophysical media F Lehmann, F Gatti, M Bertin, D Clouteau Authorea Preprints, 2023 | | 2023 |
Scientific machine learning and physics-augmented neural networks for hybrid digital twins A Benady, F Lehmann, A Pulikkathodi, E Baranger, L Chamoin, F Gatti, ... Journée du GDR I-GAIA, 2023 | | 2023 |