Advances in machine learning methods provide tools that have broad applicability in
scientific research. These techniques are being applied across the diversity of nuclear …

Collinear laser spectroscopy is performed on the nickel isotopes Ni 58-68, 70, using a time-
resolved photon counting system. From the measured isotope shifts, nuclear charge radii R …

The equation of state (EOS) in the limit of infinite symmetric nuclear matter exhibits an
equilibrium density, n 0≈ 0.16 fm− 3, at which the pressure vanishes and the energy per …

The modelling of nuclear reactions and radioactive decays in astrophysical or earth-based
conditions requires detailed knowledge of the masses of essentially all nuclei. Microscopic …

Charge radii measured with high accuracy provide a stringent benchmark for characterizing
nuclear structure phenomena. In this work, the systematic evolution of charge radii for nuclei …

We consider unconstrained stochastic optimization problems with no available gradient
information. Such problems arise in settings from derivative-free simulation optimization to …

The Fayans energy density functional (EDF) has been very successful in describing global
nuclear properties (binding energies, charge radii, and especially differences of radii) within …

Gaussian process surrogates are a popular alternative to directly using computationally
expensive simulation models. When the simulation output consists of many responses …

We present a technique for model-based derivative-free optimization called\emph {basis
sketching}. Basis sketching consists of taking random sketches of the Vandermonde matrix …

Multiobjective simulation optimization (MOSO) problems are optimization problems with
multiple conflicting objectives, where evaluation of at least one of the objectives depends on …