Fabien Casenave
Fabien Casenave
Safran Tech
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Model order reduction assisted by deep neural networks (ROM-net)
T Daniel, F Casenave, N Akkari, D Ryckelynck
Advanced Modeling and Simulation in Engineering Sciences 7, 1-27, 2020
A nonintrusive reduced basis method applied to aeroacoustic simulations
F Casenave, A Ern, T Lelievre
Advances in Computational Mathematics 41 (5), 961-986, 2015
Coupled BEM–FEM for the convected Helmholtz equation with non-uniform flow in a bounded domain
F Casenave, A Ern, G Sylvand
Journal of Computational Physics 257, 627-644, 2014
Accurate and online-efficient evaluation of the a posteriori error bound in the reduced basis method
F Casenave, A Ern, T Lelièvre
ESAIM: Mathematical Modelling and Numerical Analysis 48 (1), 207-229, 2014
A nonintrusive distributed reduced‐order modeling framework for nonlinear structural mechanics—Application to elastoviscoplastic computations
F Casenave, N Akkari, F Bordeu, C Rey, D Ryckelynck
International journal for numerical methods in engineering 121 (1), 32-53, 2020
Boundary element and finite element coupling for aeroacoustics simulations
N Balin, F Casenave, F Dubois, E Duceau, S Duprey, I Terrasse
Journal of Computational Physics 294, 274-296, 2015
Direct measurement of evapotranspiration from a forest using a superconducting gravimeter
M Van Camp, O de Viron, G Pajot‐Métivier, F Casenave, A Watlet, ...
Geophysical Research Letters 43 (19), 10,225-10,231, 2016
Time stable reduced order modeling by an enhanced reduced order basis of the turbulent and incompressible 3D Navier–Stokes equations
N Akkari, F Casenave, V Moureau
Mathematical and computational applications 24 (2), 45, 2019
Accurate a posteriori error evaluation in the reduced basis method
F Casenave
Comptes Rendus Mathematique 350 (9-10), 539-542, 2012
Fast computation of general forward gravitation problems
F Casenave, L Métivier, G Pajot-Métivier, I Panet
Journal of Geodesy 90, 655-675, 2016
Physics-informed cluster analysis and a priori efficiency criterion for the construction of local reduced-order bases
T Daniel, F Casenave, N Akkari, A Ketata, D Ryckelynck
Journal of Computational Physics 458, 111120, 2022
Data augmentation and feature selection for automatic model recommendation in computational physics
T Daniel, F Casenave, N Akkari, D Ryckelynck
Mathematical and Computational Applications 26 (1), 17, 2021
A bayesian nonlinear reduced order modeling using variational autoencoders
N Akkari, F Casenave, E Hachem, D Ryckelynck
Fluids 7 (10), 334, 2022
An error indicator-based adaptive reduced order model for nonlinear structural mechanics—application to high-pressure turbine blades
F Casenave, N Akkari
Mathematical and computational applications 24 (2), 41, 2019
A catching-up algorithm for multibody dynamics with impacts and dry friction
A Charles, F Casenave, C Glocker
Computer Methods in Applied Mechanics and Engineering 334, 208-237, 2018
A nonintrusive reduced order model for nonlinear transient thermal problems with nonparametrized variability
F Casenave, A Gariah, C Rey, F Feyel
Advanced Modeling and Simulation in Engineering Sciences 7, 1-19, 2020
Méthodes de réduction de modèles appliquées à des problèmes d'aéroacoustique résolus par équations intégrales
F Casenave
Paris Est, 2013
Uncertainty quantification for industrial numerical simulation using dictionaries of reduced order models
T Daniel, F Casenave, N Akkari, D Ryckelynck, C Rey
Mechanics & Industry 23, 3, 2022
Deep convolutional generative adversarial networks applied to 2D incompressible and unsteady fluid flows
N Akkari, F Casenave, ME Perrin, D Ryckelynck
Science and Information Conference, 264-276, 2020
Data-targeted prior distribution for variational autoencoder
N Akkari, F Casenave, T Daniel, D Ryckelynck
Fluids 6 (10), 343, 2021
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