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

Eigenvector continuation (EC) has been shown to accurately and efficiently reproduce
ground states for targeted sets of Hamiltonian parameters. It uses as variational basis …

The rate at which helium (He 4) and deuterium (d) fuse together to produce lithium-6 (Li 6)
and a γ ray, He 4 (d, γ) Li 6, is a critical puzzle piece in resolving the discrepancy between …

Breakup reactions are one of the favored probes to study loosely bound nuclei, particularly
those in the limit of stability forming a halo. In order to interpret such breakup experiments …

We develop for the first time a microscopic global nucleon-nucleus optical potential with
quantified uncertainties suitable for analyzing nuclear reaction experiments at next …

Uncertainty quantification has become increasingly more prominent in nuclear physics over
the past several years. In few-body reaction theory, there are four main sources that …

Interpreting measurements requires a physical theory, but the theory's accuracy may vary
across the experimental domain. To optimize experimental design, and so to ensure that the …