336 citations · 2.7k across the 73 of their papers we have counts for
13 papers · 1 filter
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…
Solving the nuclear pairing model with neural network quantum states
Mauro Rigo, Benjamin Hall, Morten Hjorth-Jensen +2
We present a variational Monte Carlo method that solves the nuclear many-body problem in the occupation number formalism exploiting an artificial neural network representation of t…
Long Range Plan: Dense matter theory for heavy-ion collisions and neutron stars
Alessandro Lovato, Travis Dore, Robert D. Pisarski +61
Since the release of the 2015 Long Range Plan in Nuclear Physics, major events have occurred that reshaped our understanding of quantum chromodynamics (QCD) and nuclear matter at l…
Form factor and model dependence in neutrino-nucleus cross section predictions
Daniel Simons, Noah Steinberg, Alessandro Lovato +3
To achieve its design goals, the next generation of neutrino-oscillation accelerator experiments requires percent-level predictions of neutrino-nucleus cross sections supplemented…
Efficient Solutions of Fermionic Systems using Artificial Neural Networks
Even M. Nordhagen, Jane M. Kim, Bryce Fore +2
We discuss differences and similarities between variational Monte Carlo approaches that use conventional and artificial neural network parameterizations of the ground-state wave fu…
Theory of Neutrino Physics -- Snowmass TF11 (aka NF08) Topical Group Report
André de Gouvêa, Irina Mocioiu, Saori Pastore +44
This is the report for the topical group Theory of Neutrino Physics (TF11/NF08) for Snowmass 2021. This report summarizes the progress in the field of theoretical neutrino physics…