activity
20182020
most citedBeyond the proton drip line: Bayesian analysis of proton-emitting nuclei

62 citations · 62 across the 1 of their papers we have counts for

collaborators

5 papers

nucl-th2020

Landscape of pear-shaped even-even nuclei

Yuchen Cao, Sylvester E. Agbemava, Anatoli V. Afanasjev +2

The phenomenon of reflection-asymmetric nuclear shapes is relevant to nuclear stability, nuclear spectroscopy, nuclear decays and fission, and the search for new physics beyond the…

nucl-th2020

Quantified limits of the nuclear landscape

Léo Neufcourt, Yuchen Cao, Samuel A. Giuliani +3

The chart of the nuclides is limited by particle drip lines beyond which nuclear stability to proton or neutron emission is lost. Predicting the range of particle-bound isotopes po…

nucl-th201962 cited

Beyond the proton drip line: Bayesian analysis of proton-emitting nuclei

Léo Neufcourt, Yuchen Cao, Samuel Giuliani +3

The limits of the nuclear landscape are determined by nuclear binding energies. Beyond the proton drip lines, where the separation energy becomes negative, there is not enough bind…

nucl-th2019

Neutron drip line in the Ca region from Bayesian model averaging

Léo Neufcourt, Yuchen Cao, Witold Nazarewicz +2

The region of heavy calcium isotopes forms the frontier of experimental and theoretical nuclear structure research where the basic concepts of nuclear physics are put to stringent…

nucl-th2018

Bayesian approach to model-based extrapolation of nuclear observables

Léo Neufcourt, Yuchen Cao, Witold Nazarewicz +1

The mass, or binding energy, is the basis property of the atomic nucleus. It determines its stability, and reaction and decay rates. Quantifying the nuclear binding is important fo…