46 citations · 192 across the 39 of their papers we have counts for
39 papers
Can the PREX-2 and CREX results be understood by relativistic mean-field models with the astrophysical constraints?
Tsuyoshi Miyatsu, Myung-Ki Cheoun, Kyungsik Kim +1
We construct new effective interactions using the relativistic mean-field models with the isoscalar- and isovector-meson mixing, and . Taking in…
Massive neutron stars with small radii in relativistic mean-field models optimized to nuclear ground states
Tsuyoshi Miyatsu, Myung-Ki Cheoun, Kyungsik Kim +1
We present an equation of state (EoS) for neutron stars using the relativistic mean-field model with isoscalar- and isovector-meson mixing. Taking into account the results of the n…
Quasielastic Charged-Current Neutrino-Nucleus Scattering with Nonrelativistic Nuclear Energy Density Functionals
Kyungsik Kim, Hana Gil, Chang Ho Hyun
Charged-current neutrino-nucleus scattering is studied in the quasielastic region with the KIDS (Korea-IBS-Daegu-SKKU) nuclear energy density functional. We focus on the uncertaint…
Inclusive electron scattering in the quasielastic region with Korea-IBS-Daegu-SKKU density functional
Hana Gil, Chang Ho Hyun, Kyungsik Kim
With the framework of KIDS (Korea-IBS-Daegu-SKKU) density functional model, the isoscalar and isovector effective masses of nucleon and the effect of symmetry energy in nuclear med…
Quasi-elastic electron scattering with KIDS nuclear energy density functional
Hana Gil, Chang Ho Hyun, Kyungsik Kim
Isoscalar and isovector effective masses of the nucleon in nuclear medium are explored in the quasi-elastic electron scattering of nuclei with KIDS (Korea-IBS-Daegu-SKKU) density f…
Dynamical prediction of two meteorological factors using the deep neural network and the long short-term memory
Ki-Hong Shin, Jae-Won Jung, Ki-Ho Chang +3
This paper presents the predictive accuracy using two-variate meteorological factors, average temperature and average humidity, in neural network algorithms. We analyze result in f…