116 citations · 352 across the 16 of their papers we have counts for
Showing physics.data-anShow all
2 papers · 1 filter
physics.data-an2023★ 25 cited
Multifidelity uncertainty quantification with models based on dissimilar parameters
Xiaoshu Zeng, Gianluca Geraci, Michael S. Eldred +3
Multifidelity uncertainty quantification (MF UQ) sampling approaches have been shown to significantly reduce the variance of statistical estimators while preserving the bias of the…
physics.data-an2017★ 33 cited
Global Sensitivity Analysis and Estimation of Model Error, Toward Uncertainty Quantification in Scramjet Computations
Xun Huan, Cosmin Safta, Khachik Sargsyan +6
The development of scramjet engines is an important research area for advancing hypersonic and orbital flights. Progress toward optimal engine designs requires accurate flow simula…