From the 1 of 14 linked papers with an AI index.
14 papers
Bayesian Inference for Extracting Barrier Distributions from Fusion Excitation Functions
Aaron Philip, Pablo Giuliani, Kyle Godbey
The paper presents a Bayesian machine‑learning approach (AutoBNN) for extracting nuclear barrier distributions from sparse fusion excitation function data, providing calibrated unc…
Emulating Density Functional Theory Calculations via Empirical Interpolation
Daniel Lay, Pablo Giuliani, Kyle Godbey
Nuclear density functional theory (DFT) is a suitable tool for predicting nuclear ground-state and fission properties. Statistical uncertainty quantification is desirable to make t…
High-Precision Mass Measurements of 52Ni and 51Co Reveal Breakdown of the Isobaric Multiplet Mass Equation in the f p Shell
F. M. Maier, G. Bollen, B. A. Brown +10
We performed high-precision mass measurements of the proton-rich nuclei Ni and Co with the LEBIT Penning trap at the Facility for Rare Isotope Beams (FRIB). For $^{52…
Enhanced antineutrino emission from decay in core-collapse supernovae with self-consistent weak decay rates
T. Dasher, A. RavliÄ, S. Lalit +2
Nuclear weak-interaction rates are known to exert a prominent effect in the late-stages of stellar collapse. Despite their importance, most studies to date on core-collapse superno…
Finite-range pairing in nuclear density functional theory
Sudhanva Lalit, Paul-Gerhard Reinhard, Kyle Godbey +1
Pairing correlations are ubiquitous in low-energy states of atomic nuclei. To incorporate them within nuclear density functional theory, often used for global computations of nucle…
Matter radii from interaction cross sections using microscopic nuclear densities
A. J. Smith, K. Godbey, C. Hebborn +3
Understanding how nuclear size evolves with the number of protons and neutrons tests our models of strongly interacting matter. The nuclear charge (and proton) radii accessible thr…