152 citations · 691 across the 14 of their papers we have counts for
13 papers
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…
Deep learning of phase transitions with minimal examples
Ahmed Abuali, David A. Clarke, Morten Hjorth-Jensen +3
Over the past several years, there have been many studies demonstrating the ability of deep neural networks to identify phase transitions in many physical systems, notably in class…
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.…
Addition and removal energies of circular quantum dots
Fei Yuan, Samuel J. Novario, Nathan M. Parzuchowski +3
We present and compare several many-body methods as applied to two-dimensional quantum dots with circular symmetry. We calculate the approximate ground state energy using a harmoni…
Realistic calculations for -coefficients of the isobaric mass multiplet equation in shell nuclei
W. E. Ormand, B. A. Brown, M. Hjorth Jensen
We present calculations for the -coefficients of the isobaric mass multiplet equation for nuclei from to based on input from three realistic nucleon-nucleon intera…
Closed-shell properties of O with {\em ab initio} coupled-cluster theory
Ø. Jensen, G. Hagen, M. Hjorth-Jensen +1
We present an \emph{ab initio} calculation of spectroscopic factors for neutron and proton removal from O using the coupled-cluster method and a state-of-the-art chiral nucl…