受强制性开放获取政策约束的文章 - Radek Tezaur了解详情
无法在其他位置公开访问的文章：2 篇
Training a neural-network-based surrogate model for aerodynamic optimization using a gaussian process
N Alhazmi, Y Ghazi, MN Aldosari, R Tezaur, C Farhat
AIAA Scitech 2021 Forum, 0893, 2021
强制性开放获取政策： US Department of Defense
Training a Neural-Network-Based Surrogate Model for Aerodynamic Optimisation Using a Gaussian Process
Y Ghazi, N Alhazmi, R Tezaur, C Farhat
International Journal of Computational Fluid Dynamics 36 (7), 538-554, 2022
强制性开放获取政策： US Department of Defense
可在其他位置公开访问的文章：5 篇
Mesh sampling and weighting for the hyperreduction of nonlinear Petrov–Galerkin reduced‐order models with local reduced‐order bases
S Grimberg, C Farhat, R Tezaur, C Bou‐Mosleh
International Journal for Numerical Methods in Engineering 122 (7), 1846-1874, 2021
强制性开放获取政策： 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
强制性开放获取政策： US Department of Defense
Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance
R Tezaur, F As’ad, C Farhat
Computer Methods in Applied Mechanics and Engineering 399, 115392, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
A stochastic projection-based hyperreduced order model for model-form uncertainties in vibration analysis
C Farhat, A Bos, R Tezaur, T Chapman, P Avery, C Soize
2018 AIAA Non-Deterministic Approaches Conference, 1410, 2018
强制性开放获取政策： US Department of Defense
Reprint of: Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performance
R Tezaur, F As’ad, C Farhat
Computer Methods in Applied Mechanics and Engineering 402, 115747, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
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