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Marie-Jo Azzi
Marie-Jo Azzi
Graduate Student, Stanford University
在 stanford.edu 的电子邮件经过验证
标题
引用次数
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Acceleration of a physics-based machine learning approach for modeling and quantifying model-form uncertainties and performing model updating
MJ Azzi, C Ghnatios, P Avery, C Farhat
Journal of Computing and Information Science in Engineering 23 (1), 011009, 2023
152023
Enhanced multimodal nonparametric probabilistic method for model-form uncertainty quantification and digital twinning
MJ Azzi, C Farhat
AIAA Journal 62 (11), 4265-4279, 2024
42024
Enhancing the Performance and Robustness of a Non-Parametric Probabilistic Method for Uncertainty Quantification and Model Updating
MJ Azzi, C Farhat
AIAA SCITECH 2023 Forum, 2023
22023
Multimodal Data-Assimilation using the Nonparametric Probabilistic Method for Model-Form Uncertainty Quantification, Stochastic Model Updating, and Digital Twinning
MJ Azzi, C Farhat
AIAA SCITECH 2024 Forum, 0578, 2024
12024
Physics-based digital twinning
C Farhat, MJ Azzi, M Pavone, C Soize
17th US National Congress on Computational Mechanics, USNCCM 2023, 2023
2023
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