4 papers
Neural-Network-Based Variational Method in Nuclear Density Functional Theory: Application to the Kohn--Sham method
Kenta Yoshimura, Kazuyuki Sekizawa
We extend the neural-network-based variational method for nuclear density functional theory to the Kohn--Sham scheme, representing the complex spinor components of the single-parti…
Superfluid Band Theory for the Rod Phase in the Magnetized Inner Crust Matter: Entrainment, Spin-orbit Coupling, Spin-triplet Pairing
Kenta Yoshimura, Kazuyuki Sekizawa
The inner crust of neutron stars hosts a rich variety of nuclear phenomena and provides a unique environment for exploring microscopic nuclear properties relevant to diverse astrop…
Accuracy and Applicability of the Hartle-Thorne and Komatsu-Eriguchi-Hachisu Methods for Modeling Rotating Neutron Stars
Hyukjin Kwon, Kenta Yoshimura, Tsuyoshi Miyatsu +2
Neutron stars, which are composed of extremely dense nuclear matter, serve as natural laboratories to study nuclear interactions beyond the terrestrial experiments. Recent research…
Phase transitions in the inner crust of neutron stars within the superfluid band theory: Competition between pairing and spin polarization under finite temperature and magnetic field
Kenta Yoshimura, Kazuyuki Sekizawa
Phase transitions of matter under changes of external environment such as temperature and magnetic field have attracted great interests to various quantum many-body systems. Severa…