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07/10/2023
Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data
Inverse UQ is the process to inversely quantify the model input uncertai...
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05/11/2021
Bayesian Inverse Uncertainty Quantification of a MOOSE-based Melt Pool Model for Additive Manufacturing Using Experimental Data
Additive manufacturing (AM) technology is being increasingly adopted in ...
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05/02/2021
Towards Improving the Predictive Capability of Computer Simulations by Integrating Inverse Uncertainty Quantification and Quantitative Validation with Bayesian Hypothesis Testi
The Best Estimate plus Uncertainty (BEPU) approach for nuclear systems m...
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04/27/2021
A Comprehensive Survey of Inverse Uncertainty Quantification of Physical Model Parameters in Nuclear System Thermal-Hydraulics Codes
Uncertainty Quantification (UQ) is an essential step in computational mo...
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06/06/2011
