465 citations · 1.4k across the 15 of their papers we have counts for
15 papers
Uncertainty Quantification and Propagation in Nuclear Density Functional Theory
N. Schunck, J. D. McDonnell, D. Higdon +2
Nuclear density functional theory (DFT) is one of the main theoretical tools used to study the properties of heavy and superheavy elements, or to describe the structure of nuclei f…
Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements
J. D. McDonnell, N. Schunck, D. Higdon +3
Statistical tools of uncertainty quantification can be used to assess the information content of measured observables with respect to present-day theoretical models; to estimate mo…
Nuclear Energy Density Optimization: UNEDF2
M. Kortelainen, J. McDonnell, W. Nazarewicz +8
The parameters of the UNEDF2 nuclear energy density functional (EDF) model were obtained in an optimization to experimental data consisting of nuclear binding energies, proton radi…
Error Analysis in Nuclear Density Functional Theory
Nicolas Schunck, Jordan D. McDonnell, Jason Sarich +2
Nuclear density functional theory (DFT) is the only microscopic, global approach to the structure of atomic nuclei. It is used in numerous applications, from determining the limits…
A Bayesian Approach for Parameter Estimation and Prediction using a Computationally Intensive Model
Dave Higdon, Jordan D. McDonnell, Nicolas Schunck +2
Bayesian methods have been very successful in quantifying uncertainty in physics-based problems in parameter estimation and prediction. In these cases, physical measurements y are…
Excitation energy dependence of fission in the mercury region
J. D. McDonnell, W. Nazarewicz, J. A. Sheikh +2
Background: Recent experiments on beta-delayed fission reported an asymmetric mass yield in the neutron-deficient nucleus 180Hg. Earlier experiments in the mass region A=190-200 cl…