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20232026
most citedFunctional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data

20 citations · 43 across the 7 of their papers we have counts for

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stat.ML2023

Reduced Order Modeling of a MOOSE-based Advanced Manufacturing Model with Operator Learning

Mahmoud Yaseen, Dewen Yushu, Peter German +1

Advanced Manufacturing (AM) has gained significant interest in the nuclear community for its potential application on nuclear materials. One challenge is to obtain desired material…

stat.ML2023★ 20 cited

Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data

Ziyu Xie, Mahmoud Yaseen, Xu Wu

Inverse UQ is the process to inversely quantify the model input uncertainties based on experimental data. This work focuses on developing an inverse UQ process for time-dependent r…