MR-SCDFT augments standard multireference DFT by using stochastic fields to create reference configurations and a projection-selection step, yielding lower ground-state energies, smaller proton radii, and softer bands than conventional MR-CDFT for 20Ne, 24Mg, and 28Si.
Bayes goes fast: Uncertainty Quantification for a Covariant Energy Density Functional emulated by the Reduced Basis Method
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Bayesian sampling of ~1M EDF parameter sets combined with subspace-projected CDFT shows that statistical uncertainties bring deformed nuclei 150Nd and 150Sm into agreement with data while near-spherical 136Xe and 136Ba remain outside the predicted bands.
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Multireference Covariant Density Functional Theory with Stochastic Basis
MR-SCDFT augments standard multireference DFT by using stochastic fields to create reference configurations and a projection-selection step, yielding lower ground-state energies, smaller proton radii, and softer bands than conventional MR-CDFT for 20Ne, 24Mg, and 28Si.
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Statistical uncertainty quantification for multireference covariant density functional theory
Bayesian sampling of ~1M EDF parameter sets combined with subspace-projected CDFT shows that statistical uncertainties bring deformed nuclei 150Nd and 150Sm into agreement with data while near-spherical 136Xe and 136Ba remain outside the predicted bands.