Članki z zahtevami za javni dostop - Christian SoizeVeč o tem
Na voljo nekje: 31
Data-driven probability concentration and sampling on manifold
C Soize, R Ghanem
Journal of Computational Physics 321, 242-258, 2016
Zahteve: US Department of Energy
A nonparametric probabilistic approach for quantifying uncertainties in low‐dimensional and high‐dimensional nonlinear models
C Soize, C Farhat
International Journal for Numerical methods in engineering 109 (6), 837-888, 2017
Zahteve: US Department of Defense
Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites
B Staber, J Guilleminot, C Soize, J Michopoulos, A Iliopoulos
Computer Methods in Applied Mechanics and Engineering 347, 425-444, 2019
Zahteve: US National Science Foundation, US Department of Defense
Probabilistic learning and updating of a digital twin for composite material systems
R Ghanem, C Soize, L Mehrez, V Aitharaju
International Journal for Numerical Methods in Engineering 123 (13), 3004-3020, 2022
Zahteve: US Department of Energy, US Department of Defense
Feasible probabilistic learning method for model-form uncertainty quantification in vibration analysis
C Farhat, R Tezaur, T Chapman, P Avery, C Soize
AIAA Journal 57 (11), 4978-4991, 2019
Zahteve: US Department of Defense
Probabilistic learning for modeling and quantifying model‐form uncertainties in nonlinear computational mechanics
C Soize, C Farhat
International Journal for Numerical methods in engineering 117 (7), 819-843, 2019
Zahteve: US Department of Defense
Physics‐constrained non‐Gaussian probabilistic learning on manifolds
C Soize, R Ghanem
International Journal for Numerical Methods in Engineering 121 (1), 110-145, 2020
Zahteve: US Department of Defense
Modeling and quantification of model-form uncertainties in eigenvalue computations using a stochastic reduced model
C Farhat, A Bos, P Avery, C Soize
Aiaa Journal 56 (3), 1198-1210, 2018
Zahteve: US Department of Defense, US National Aeronautics and Space Administration
Entropy-based closure for probabilistic learning on manifolds
C Soize, R Ghanem, C Safta, X Huan, ZP Vane, J Oefelein, G Lacaze, ...
Journal of Computational Physics 388, 518-533, 2019
Zahteve: US Department of Energy, US Department of Defense
Probabilistic learning on manifolds (PLoM) with partition
C Soize, R Ghanem
International Journal for Numerical Methods in Engineering 123 (1), 268-290, 2022
Zahteve: US Department of Energy
Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets
C Soize, R Ghanem
Computer Methods in Applied Mechanics and Engineering 380, 113777, 2021
Zahteve: US Department of Energy, US Department of Defense
Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds
RG Ghanem, C Soize, C Safta, X Huan, G Lacaze, JC Oefelein, HN Najm
Journal of Computational Physics 399, 108930, 2019
Zahteve: US Department of Energy, US Department of Defense
Enhancing model predictability for a scramjet using probabilistic learning on manifolds
C Soize, R Ghanem, C Safta, X Huan, ZP Vane, JC Oefelein, G Lacaze, ...
AIAA Journal 57 (1), 365-378, 2019
Zahteve: US Department of Energy, US Department of Defense
Optimal well-placement using probabilistic learning
R Ghanem, C Soize, C Thimmisetty
Data-Enabled Discovery and Applications 2, 1-16, 2018
Zahteve: US Department of Energy
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset
C Soize, RG Ghanem, C Desceliers
Statistics and Computing 30 (5), 1433-1457, 2020
Zahteve: US Department of Defense
Computation of sobol indices in global sensitivity analysis from small data sets by probabilistic learning on manifolds
M Arnst, C Soize, K Bulthuis
International Journal for Uncertainty Quantification 11 (2), 2021
Zahteve: National Fund for Scientific Research, Belgium
Experimental evaluation and model of a nonlinear absorber for vibration attenuation
D Lavazec, G Cumunel, D Duhamel, C Soize
Communications in Nonlinear Science and Numerical Simulation 69, 386-397, 2019
Zahteve: Agence Nationale de la Recherche
Structural uncertainty modeling for nonlinear geometric response using nonintrusive reduced order models
XQ Wang, MP Mignolet, C Soize
Probabilistic Engineering Mechanics 60, 103033, 2020
Zahteve: US Department of Defense
Probabilistic-learning-based stochastic surrogate model from small incomplete datasets for nonlinear dynamical systems
C Soize, R Ghanem
Computer Methods in Applied Mechanics and Engineering 418, 116498, 2024
Zahteve: US Department of Energy
Identification and sampling of Bayesian posteriors of high-dimensional symmetric positive-definite matrices for data-driven updating of computational models
M Arnst, C Soize
Computer Methods in Applied Mechanics and Engineering 352, 300-323, 2019
Zahteve: National Fund for Scientific Research, Belgium
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