2 papers
nucl-th2025
The DNA of nuclear models: How AI predicts nuclear masses
Kate A. Richardson, Sokratis Trifinopoulos, Mike Williams
Obtaining high-precision predictions of nuclear masses, or equivalently nuclear binding energies, , remains an important goal in nuclear-physics research. Recently, many AI-ba…
hep-ex2021
The search for low-mass axion dark matter with ABRACADABRA-10cm
Chiara P. Salemi, Joshua W. Foster, Jonathan L. Ouellet +10
Two of the most pressing questions in physics are the microscopic nature of the dark matter that comprises 84% of the mass in the universe and the absence of a neutron electric dip…