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

The nuclear-physics landscape has been redesigned as a sequence of effective field
theories (EFTs) connected to the standard model through symmetries and lattice simulations …

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

We introduce a new framework for quantifying correlated uncertainties of the infinite-matter
equation of state derived from chiral effective field theory (χ EFT). Bayesian machine …

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 …

We combine the equation of state of dense matter up to twice nuclear saturation density n
sat obtained using chiral effective field theory (χ EFT) and recent observations of neutron …

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 …

We review a new generation of nuclear forces derived in chiral effective field theory using
the recently proposed semilocal regularization method. We outline the conceptual …

We describe the Bayesian analysis of nuclear dynamics (BAND) framework, a
cyberinfrastructure that we are developing which will unify the treatment of nuclear models …

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 …