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20172025
most citedPhysically Interpretable Machine Learning for nuclear masses

62 citations · 351 across the 20 of their papers we have counts for

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14 papers · 1 filter

nucl-th2023

Thallium-208: a beacon of in situ neutron capture nucleosynthesis

Nicole Vassh, Xilu Wang, Maude Lariviere +7

We demonstrate that the well-known 2.6 MeV gamma-ray emission line from thallium-208 could serve as a real-time indicator of astrophysical heavy element production, with both rapid…

nucl-th2023★ 1 cited

Executive Summary of the Topical Program: Nuclear Isomers in the Era of FRIB

G. W. Misch, M. R. Mumpower, F. G. Kondev +29

We report on the Facility for Rare Isotope Beams (FRIB) Theory Alliance topical program "Nuclear Isomers in the Era of FRIB". We outline the many ways isomers influence and contrib…

nucl-th2023

Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach

M. R. Mumpower, M. Li, T. M. Sprouse +3

We present global predictions of the ground state mass of atomic nuclei based on a novel Machine Learning (ML) algorithm. We combine precision nuclear experimental measurements tog…

nucl-th2023★ 51 cited

Nucleosynthesis and observation of the heaviest elements

E. M. Holmbeck, T. M. Sprouse, M. R. Mumpower

The rapid neutron capture or 'r process' of nucleosynthesis is believed to be responsible for the production of approximately half the natural abundance of heavy elements found on…

nucl-th2022★ 1 cited

Nuclear data activities for medium mass and heavy nuclei at Los Alamos

M. R. Mumpower, T. M Sprouse, T. Kawano +7

Nuclear data is critical for many modern applications from stockpile stewardship to cutting edge scientific research. Central to these pursuits is a robust pipeline for nuclear mod…

nucl-th2022★ 62 cited

Physically Interpretable Machine Learning for nuclear masses

M. R. Mumpower, T. M. Sprouse, A. E. Lovell +1

We present a novel approach to modeling the ground state mass of atomic nuclei based directly on a probabilistic neural network constrained by relevant physics. Our Physically Inte…