4 papers · 1 filter
Medium-mass nuclei with neural quantum states
Bryce Fore, Jane Kim, Alessandro Lovato +1
We compute ground-state energies and charge radii of light- to medium-mass nuclei with up to nucleons, leveraging a variational Monte Carlo method based on Pfaffian-Jastrow…
Neural-network quantum states for the nuclear many-body problem
Alessandro Lovato, Giuseppe Carleo, Bryce Fore +4
A long-standing goal of nuclear theory is to explain how the structure and dynamics of atomic nuclei and neutron-star matter emerge from the underlying interactions among protons a…
Bulk viscosity of nuclear matter with pions in the neutrino-trapped regime
Steven P. Harris, Bryce Fore, Sanjay Reddy
Recent work [B. Fore and S. Reddy, Phys. Rev. C 101 035809 (2020)] has shown that the population of thermal pions could modify the equation of state and transport properties of hot…
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.…