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

Atomic nuclei are quantum many-body systems of protons and neutrons held together by
strong nuclear forces. Under the proper conditions, nuclei can break into two (sometimes …

The parity-violating asymmetry A PV in Pb 208, recently measured by the PREX-2
Collaboration, is studied using modern relativistic (covariant) and nonrelativistic energy …

There has been much recent interest in nuclear fission, due in part to a new appreciation of
its relevance to astrophysics, stability of superheavy elements, and fundamental theory of …

Perturbative and non-perturbative expansion methods already constitute a tool of choice to
perform ab initio calculations over a significant part of the nuclear chart. In this context, the …

In spite of the high-density and strongly correlated nature of the atomic nucleus,
experimental and theoretical evidence suggests that around particular 'magic'numbers of …

The field of model order reduction (MOR) is growing in importance due to its ability to extract
the key insights from complex simulations while discarding computationally burdensome …

We use the finite-amplitude method (FAM), an efficient implementation of the quasiparticle
random phase approximation, to compute β-decay rates with Skyrme energy-density …

We present the reduced basis method as a tool for develo** emulators for equations with
tunable parameters within the context of the nuclear many-body problem. The method uses …

The mean-field approximation based on effective interactions or density functionals plays a
pivotal role in the description of finite quantum many-body systems that are too large to be …