Filippo GATTI
Filippo Gatti (PhD) Maître de Conférences
45
Documents
Affiliations actuelles
Identifiants chercheurs
- gattif
- 0000-0001-7174-4048
- Google Scholar : https://scholar.google.it/citations?user=E0mgtfwAAAAJ&hl=it&oi=ao
- IdRef : 219813604
Présentation
Je suis Maître de Conférences à CentraleSupélec, Université Paris Saclay, depuis 2019. Je suis affilié au laboratoire de Mécanique Paris-Saclay UMR 9026.
Domaine de recherche: computational earthquake engineering et machine learning appliquée à la sismologie.
Publications
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Génération conditionnelle et inconditionnelle de signaux sismiques à l'aide de modèles de diffusion.CSMA 2024 16ème Colloque National en Calcul des Structures, Association Calcul des Structures et Modélisation (CSMA), May 2024, Presqu’île de Giens (Var) Giens (Var), France
Communication dans un congrès
hal-04531795v1
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Metamodèle de la propagation d'ondes sismiques 3D par opérateur neuronal de Fourier (FNO) amélioré avec un transfert d'apprentissage.16ème Colloque National en Calcul des Structures, Association Calcul des Structures et Modélisation (CSMA), May 2024, Presqu'ile de Giens, France. ⟨10.57745/LAI6YU⟩
Communication dans un congrès
hal-04531803v1
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Deep-learning-based surrogate model of laser-induced elastic wave propagation in metallic microstructures with elongated grains6th International Workshop on Laser-Ultrasound for Metals, SWERIM, May 2024, Kista, Sweden
Communication dans un congrès
hal-04546091v1
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A SEM/FEM weak coupling for a more accurate definition of seismic input excitation in soil-structure interaction studies: An adaptation for a massively parallel FEM resolutionXII International Conference on Structural Dynamics EURODYN2023, Jul 2023, Delft, Netherlands
Communication dans un congrès
hal-04290266v1
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Seismic hazard analysis with a Fourier Neural Operator (FNO) surrogate model enhanced by transfer learningNeurIPS AI for Science workshop, Dec 2023, New Orleans, United States
Communication dans un congrès
hal-04476126v1
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Simulation 3D basée sur la physique pour la réponse sismique « de la faille à la structure »11ème colloque de l'Association Française du Génie ParaSismique (AFPS), Nov 2023, Guadeloupe (Antilles Francaises), France
Communication dans un congrès
hal-04290296v1
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A deep learning framework for efficient global sensitivity analysis and SHAP values calculations applied to eddy current testing problemsQNDE, Jul 2023, Austin, TX, United States. ⟨10.1115/QNDE2023-118352⟩
Communication dans un congrès
hal-04250590v1
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Seamless Simulations of Earthquake Disasters and Economy at 1:1 scale Utilizing Big-dataWI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Dec 2021, Melbourne VIC, Australia. pp.101-108, ⟨10.1145/3498851.3498937⟩
Communication dans un congrès
hal-03677307v1
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Assessing the influence of around-source deep crustal heterogeneities on the seismic wave propagation by 3-D broad-band numerical modelling13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), May 2019, Seoul, South Korea
Communication dans un congrès
hal-02142977v1
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Predicting short-period spectral ordinates of hybrid ground shaking prediction tools: a comparative benchmark13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13), May 2019, Seoul, South Korea
Communication dans un congrès
hal-02142978v1
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Impact of 3D seismic input motion definition from physics-based simulations for soil-structure interaction studies7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2019, Jun 2019, Crete, Greece
Communication dans un congrès
hal-02395379v1
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On the effect of around-source crustal heterogeneities on 3-d regional seismic wave field7th International Conference on Earthquake Geotechnical Engineering, ICEGE 2019, Jan 2019, Roma, Italy
Communication dans un congrès
hal-04494730v1
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3D Spectral Element Modeling of Near Source Effects Including Kinematic Rupture and Finite-Fault Effects16th European Conference on Earthquake Engineering (16ECEE), Jun 2018, Thessaloniki, Greece
Communication dans un congrès
hal-01851739v1
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3-D source-to-site numerical investigation on the earthquake ground motion coherency in heterogeneous soil deposits9th European Conference on Numerical Methods in Geotechnical Engineering, NUMGE 2018, Jun 2018, Porto, Portugal
Communication dans un congrès
hal-01851736v1
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Argostoli site, from site test to numerical model: a holistic approachBest Practices in Physics-based Fault Rupture Models for Seismic Hazard Assessment of Nuclear Installations: issues and challenges towards full Seismic Risk Analysis, May 2018, Cadarache, France
Communication dans un congrès
hal-01851742v1
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Broad-band 3-D physics-based simulation of earthquake-induced wave-field at the Kashiwazaki-Kariwa Nuclear Power Plant (Japan): an all-embracing source-to-site approach16th European Conference on Earthquake Engineering (16ECEE), Jun 2018, Thessaloniki, Greece
Communication dans un congrès
hal-01851734v1
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PHYSICS-BASED SCENARIO OF THE 2007 CHUETSU-OKI EARTHQUAKE6th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Jun 2017, Rhodes, Greece. pp.C17465
Communication dans un congrès
hal-01546804v1
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Investigation of the earthquake ground motion coherence in heterogeneous non-linear soil depositsX International Conference on Structural Dynamics (EURODYN 2017), Sep 2017, Rome, Italy. pp.2354-2359, ⟨10.1016/j.proeng.2017.09.232⟩
Communication dans un congrès
hal-01586963v1
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One-dimensional seismic soil response at the nuclear power plant of kashiwazaki-kariwa during the 2007 niigata-chuetsu-oki earthquake15th International Conference on Civil, Structural and Environmental Engineering Computing, CIVIL-COMP 2015, Sep 2015, Prague, Czech Republic. pp.157, ⟨10.4203/ccp.108.157⟩
Communication dans un congrès
hal-02455818v1
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A deep learning-based earthquake simulator: from source and geology to surface wavefieldsEuropean Geophysical Union General Assembly 2024, Apr 2024, Vienna, Austria. 2024, ⟨10.5194/egusphere-egu24-14438⟩
Poster de conférence
hal-04534919v1
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Deep learning generative strategies to enhance 3D physics-based seismic wave propagation: from diffusive super-resolution to 3D Fourier Neural Operators.European Geophysical Union General Assembly 2024, Apr 2024, Vienna, Austria. 2024, ⟨10.5194/egusphere-egu24-2443⟩
Poster de conférence
hal-04534286v1
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MINERVE - Un jumeau numérique pour gérer l'infrastructure ferroviairePoster de conférence hal-03999654v1 |
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Scientific machine learning and physics-augmented neural networks for hybrid digital twinsJournée du GDR I-GAIA, 2023, Paris, France
Poster de conférence
hal-04425617v1
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Artificial Neural Networks: layer architectures, optimizers and automatic differentiation2023
Pré-publication, Document de travail
hal-04363414v1
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Artificial Neural Networks: advanced topics2023
Pré-publication, Document de travail
hal-04363413v1
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Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation2023
Pré-publication, Document de travail
hal-04252336v1
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Broad-band 3-D earthquake simulation at nuclear site by an all-embracing source-to-structure approach2018
Pré-publication, Document de travail
hal-01860115v1
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SEM3D-High-resolution seismic wave propagation modelling from the fault to the structure for realistic earthquake scenarios. GENCI Allocation A0080410444Université Paris-Saclay; CentraleSupelec. 2021
Rapport
hal-04450043v1
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Analyse physics-based de scénarios sismiques «de la faille au site» : prédiction de mouvement sismique fort pour l’étude de vulnérabilité sismique de structures critiques.Autre. Université Paris Saclay (COmUE); Politecnico di Milano, 2017. Français. ⟨NNT : 2017SACLC051⟩
Thèse
tel-01626230v1
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