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

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The observation of neutrino oscillations and hence non-zero neutrino masses provided a
milestone in the search for physics beyond the Standard Model. But even though we now …

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 …

The NASA telescope NICER has recently measured x-ray emissions from the heaviest of the
precisely known two-solar mass neutron stars, PSR J0740+ 6620. Analysis of the data …

This is a collection of perspective pieces contributed by the participants of the Institute for
Nuclear Theory's Program on Nuclear Physics for Precision Nuclear Physics which was held …

We propose a novel many-body framework combining the density matrix renormalization
group (DMRG) with the valence-space (VS) formulation of the in-medium similarity …

We present a comprehensive investigation of few-nucleon systems as well as light and
medium-mass nuclei up to A= 48 using the current Low Energy Nuclear Physics …

We develop a class of emulators for solving quantum three-body scattering problems. They
are based on combining the variational method for scattering observables and the recently …

The BUQEYE collaboration (Bayesian Uncertainty Quantification: Errors in Your effective
field theory) presents a pedagogical introduction to projection-based, reduced-order …