14 citations · 15 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2022★ 1 cited
Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions
Majdi I. Radaideh, Hoang Tran, Lianshan Lin +6
The mercury constitutive model predicting the strain and stress in the target vessel plays a central role in improving the lifetime prediction and future target designs of the merc…
physics.acc-ph2022★ 14 cited
Bayesian Inverse Uncertainty Quantification of the Physical Model Parameters for the Spallation Neutron Source First Target Station
Majdi I. Radaideh, Lianshan Lin, Hao Jiang +1
The reliability of the mercury spallation target is mission-critical for the neutron science program of the spallation neutron source at the Oak Ridge National Laboratory. We prese…