48 citations · 85 across the 9 of their papers we have counts for
6 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…
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.…
Dilute neutron star matter from neural-network quantum states
Bryce Fore, Jane M. Kim, Giuseppe Carleo +2
Low-density neutron matter is characterized by fascinating emergent quantum phenomena, such as the formation of Cooper pairs and the onset of superfluidity. We model this density r…
Evolution of Charge Fluctuations and Correlations in the Hydrodynamic Stage of Heavy Ion Collisions
Scott Pratt, Jane Kim, Chris Plumberg
Charge fluctuations for a baryon-neutral quark-gluon plasma have been calculated in lattice gauge theory. These fluctuations provide a well-posed rigorous representation of the qua…
Determining Transport Coefficients for a Microscopic Simulation of a Hadron Gas
Scott Pratt, Alexander Baez, Jane Kim
Quark-Gluon plasmas produced in relativistic heavy-ion collisions quickly expand and cool, entering a phase consisting of multiple interacting hadronic resonances just below the QC…