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

Quantum Chromodynamics, the theory of quarks and gluons, whose interactions can be
described by a local SU (3) gauge symmetry with charges called “color quantum numbers” …

Frontiers | What is ab initio in nuclear theory? Skip to main content Top bar navigation Frontiers
in Physics About us About us Who we are Mission Values History Leadership Awards Impact …

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 …

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

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

We construct an efficient emulator for two-body scattering observables using the general
(complex) Kohn variational principle and trial wave functions derived from eigenvector …

We combine Newton's variational method with ideas from eigenvector continuation to
construct a fast & accurate emulator for two-body scattering observables. The emulator will …

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 …