Equations of state for supernovae and compact stars

M Oertel, M Hempel, T Klähn, S Typel - Reviews of Modern Physics, 2017 - APS
A review is given of various theoretical approaches for the equation of state (EoS) of dense
matter, relevant for the description of core-collapse supernovae, compact stars, and compact …

Progress on tilted axis cranking covariant density functional theory for nuclear magnetic and antimagnetic rotation

J Meng, J Peng, SQ Zhang, PW Zhao - Frontiers of Physics, 2013 - Springer
Magnetic rotation and antimagnetic rotation are exotic rotational phenomena observed in
weakly deformed or near-spherical nuclei, which are respectively interpreted in terms of the …

Nuclear mass table in deformed relativistic Hartree–Bogoliubov theory in continuum, I: Even–even nuclei

K Zhang, MK Cheoun, YB Choi, PS Chong… - Atomic Data and …, 2022 - Elsevier
Ground-state properties of even–even nuclei with 8≤ Z≤ 120 from the proton drip line to the
neutron drip line have been investigated using the deformed relativistic Hartree–Bogoliubov …

[HTML][HTML] Surface diffuseness correction in global mass formula

N Wang, M Liu, X Wu, J Meng - Physics Letters B, 2014 - Elsevier
By taking into account the surface diffuseness correction for unstable nuclei, the accuracy of
the macroscopic–microscopic mass formula is further improved. The rms deviation with …

[HTML][HTML] Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects

ZM Niu, HZ Liang - Physics Letters B, 2018 - Elsevier
Bayesian neural network (BNN) approach is employed to improve the nuclear mass
predictions of various models. It is found that the noise error in the likelihood function plays …

A statistical model for a complete supernova equation of state

M Hempel, J Schaffner-Bielich - Nuclear Physics A, 2010 - Elsevier
A statistical model for the equation of state and the composition of supernova matter is
presented. It consists of an ensemble of nuclei and interacting nucleons in nuclear statistical …

Machine learning the nuclear mass

ZP Gao, YJ Wang, HL Lü, QF Li, CW Shen… - Nuclear Science and …, 2021 - Springer
Background: The masses of ∼∼ 2500 nuclei have been measured experimentally;
however,> 7000 isotopes are predicted to exist in the nuclear landscape from H (Z= 1 Z= 1) …

Nuclear mass predictions with machine learning reaching the accuracy required by -process studies

ZM Niu, HZ Liang - Physical Review C, 2022 - APS
Nuclear masses are predicted with the Bayesian neural networks by learning the mass
surface of even-even nuclei and the correlation energies to their neighboring nuclei. By …

The limits of the nuclear landscape explored by the relativistic continuum Hartree–Bogoliubov theory

XW Xia, Y Lim, PW Zhao, HZ Liang, XY Qu… - Atomic Data and …, 2018 - Elsevier
The ground-state properties of nuclei with 8⩽ Z⩽ 120 from the proton drip line to the neutron
drip line have been investigated using the spherical relativistic continuum Hartree …

Global performance of covariant energy density functionals: Ground state observables of even-even nuclei and the estimate of theoretical uncertainties

SE Agbemava, AV Afanasjev, D Ray, P Ring - Physical Review C, 2014 - APS
Covariant density functional theory is a modern theoretical tool for the description of nuclear
structure phenomena. The current investigation aims at the global assessment of the …