108 citations · 341 across the 13 of their papers we have counts for
13 papers
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.…
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…
Distilling the essential elements of nuclear binding via neural-network quantum states
A. Gnech, B. Fore, A. Lovato
In pursuing the essential elements of nuclear binding, we compute ground-state properties of atomic nuclei with up to nucleons, using as input a leading order pionless effec…
Neural-network quantum states for ultra-cold Fermi gases
Jane Kim, Gabriel Pescia, Bryce Fore +5
Ultra-cold Fermi gases display diverse quantum mechanical properties, including the transition from a fermionic superfluid BCS state to a bosonic superfluid BEC state, which can be…
The mass of charged pions in neutron star matter
Bryce Fore, Norbert Kaiser, Sanjay Reddy +1
We examine the behavior of charged pions in neutron-rich matter using heavy-baryon chiral perturbation theory. This study is motivated by the prospect that pions, or pion-like exci…
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…
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…
Observable signatures of enhanced axion emission from protoneutron stars
Tobias Fischer, Pierluca Carenza, Bryce Fore +3
We perform general relativistic one-dimensional supernova (SN) simulations to identify observable signatures of enhanced axion emission from the pion-induced reaction $π^- + p \rig…
Enhanced Supernova Axion Emission and its Implications
Pierluca Carenza, Bryce Fore, Maurizio Giannotti +2
We calculate the axion emission rate from reactions involving thermal pions in matter encountered in supernovae and neutron star mergers, identify unique spectral features, and exp…
Pions in hot dense matter and their astrophysical implications
Bryce Fore, Sanjay Reddy
We study the role of pions in hot dense matter encountered in astrophysics. We find that strong interactions enhance the number density of negatively charged pions and that this en…
Direct Visualization of Memory Effects in Artificial Spin Ice
Ian Gilbert, Gia-Wei Chern, Bryce Fore +4
We experimentally demonstrate that arrays of interacting nanoscale ferromagnetic islands, known as artificial spin ice, develop reproducible microstates upon cycling an applied mag…