4 citations · 6 across the 3 of their papers we have counts for
3 papers
nucl-th2024
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.…
nucl-th2023★ 2 cited
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…
cond-mat.quant-gas2023★ 4 cited
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…