Scalable Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Variational Inference

Scalable Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Variational Inference

Inverse Uncertainty Quantification (IUQ) has gained increasing attention in the field of nuclear engineering, especially nuclear thermal-hydraulics (TH), where it serves as an important tool for quantifying the uncertainties in the physical model parameters (PMPs) while making the model predictions...

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Bibliographic Details
Main Authors:	Chen Wang, Xu Wu, Ziyu Xie, Tomasz Kozlowski
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Energies
Subjects:	inverse uncertainty quantification hierarchical Bayesian variational inference nuclear thermal-hydraulics
Online Access:	https://www.mdpi.com/1996-1073/16/22/7664

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