12 citations · 12 across the 10 of their papers we have counts for
4 papers · 1 filter
Investigating the crust of neutron stars with neural-network quantum states
Bryce Fore, Jane Kim, Morten Hjorth-Jensen +1
An accurate description of low-density nuclear matter is crucial for explaining the physics of neutron star crusts. In the density range between approximately 0.01 fm and 0.…
Modeling inclusive electron-nucleus scattering with Bayesian artificial neural networks
Joanna E. Sobczyk, Noemi Rocco, Alessandro Lovato
We introduce a Bayesian protocol based on artificial neural networks that is suitable for modeling inclusive electron-nucleus scattering on a variety of nuclear targets with quanti…
Static and dynamic properties of atomic nuclei with high-resolution potentials
Alex Gnech, Alessandro Lovato, Noemi Rocco
We compute ground-state and dynamical properties of He and O nuclei using as input high-resolution, phenomenological nucleon-nucleon and three-nucleon forces that are lo…
High-resolution momentum distributions from low-resolution wave functions
A. J. Tropiano, S. K. Bogner, R. J. Furnstahl +3
Nucleon momentum distributions calculated with a common one-body operator vary with the resolution scale (and scheme) of the Hamiltonian used. For high-resolution potentials such a…