Advances in machine learning methods provide tools that have broad applicability in
scientific research. These techniques are being applied across the diversity of nuclear …

Over the last decade, new developments in Similarity Renormalization Group techniques
and nuclear many-body methods have dramatically increased the capabilities of ab initio …

Heavy atomic nuclei have an excess of neutrons over protons, which leads to the formation
of a neutron skin whose thickness is sensitive to details of the nuclear force. This links …

Subjecting a physical system to extreme conditions is one of the means often used to obtain
a better understanding and deeper insight into its organization and structure. In the case of …

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We optimize Δ-full nuclear interactions from chiral effective field theory. The low-energy
constants of the contact potentials are constrained by two-body scattering phase shifts, and …

Eigenvector continuation is a computational method for parametric eigenvalue problems that
uses subspace projection with a basis derived from eigenvector snapshots from different …

Atomic nuclei exhibit multiple energy scales ranging from hundreds of MeV in binding
energies to fractions of an MeV for low-lying collective excitations. As the limits of nuclear …

Recent advances in nuclear structure theory have significantly enlarged the accessible part
of the nuclear landscape via ab initio many-body calculations. These developments open …

We explore the constraints on the three-nucleon force (3NF) of chiral effective field theory (χ
EFT) that are provided by bound-state observables in the A= 3 and A= 4 sectors. Our …