237 citations · 544 across the 6 of their papers we have counts for
6 papers
The Nuclear Physics of Neutron Stars
J. Piekarewicz
Neutron stars -- compact objects with masses similar to that of our Sun but radii comparable to the size of a city -- contain the densest form of matter in the universe that can be…
Validating neural-network refinements of nuclear mass models
R. Utama, J. Piekarewicz
Nuclear astrophysics centers on the role of nuclear physics in the cosmos. In particular, nuclear masses at the limits of stability are critical in the development of stellar struc…
Refining mass formulas for astrophysical applications: a Bayesian neural network approach
Raditya Utama, Jorge Piekarewicz
Exotic nuclei, particularly those near the driplines, are at the core of one of the fundamental questions driving nuclear structure and astrophysics today: what are the limits of n…
Nuclear charge radii: Density functional theory meets Bayesian neural networks
Raditya Utama, Wei-Chia Chen, Jorge Piekarewicz
The distribution of electric charge in atomic nuclei is fundamental to our understanding of the complex nuclear dynamics and a quintessential observable to validate nuclear structu…
Nuclear Mass Predictions for the Crustal Composition of Neutron Stars: A Bayesian Neural Network Approach
R. Utama, J. Piekarewicz, H. B. Prosper
Besides their intrinsic nuclear-structure value, nuclear mass models are essential for astrophysical applications, such as r-process nucleosynthesis and neutron-star structure. To…
The Nuclear Physics of Neutron Stars
J. Piekarewicz
We explore the unique and fascinating structure of neutron stars. Although neutron stars are of interest in many areas of Physics, our aim is to provide an intellectual bridge betw…