no code implementations • 27 Apr 2021 • Akira Harada, Shota Nishikawa, Shoichi Yamada
We consider two kinds of DNNs: a conventional DNN named a component-wise neural network (CWNN) and a tensor-basis neural network (TBNN).
1 code implementation • 14 Oct 2019 • Milad Delfan Azari, Shoichi Yamada, Taiki Morinaga, Hiroki Nagakura, Shun Furusawa, Akira Harada, Hirotada Okawa, Wakana Iwakami, Kohsuke Sumiyoshi
We find that low values of the electron fraction $Y_e$ produced by convective motions together with the appearance of light elements are critically important to give rise to the ELN crossing by enhancing the chemical potential difference between proton and neutron, and hence by mitigating the Fermi-degeneracy of $\nu_e$.
High Energy Astrophysical Phenomena
1 code implementation • 25 Oct 2012 • Ken'ichiro Nakazato, Kohsuke Sumiyoshi, Hideyuki Suzuki, Tomonori Totani, Hideyuki Umeda, Shoichi Yamada
To follow the evolution from the onset of collapse to 20 s after the core bounce, we combine the results of neutrino-radiation hydrodynamic simulations for the early phase and quasi-static evolutionary calculations of neutrino diffusion for the late phase, with different values of shock revival time as a parameter that should depend on the still unknown explosion mechanism.
High Energy Astrophysical Phenomena Solar and Stellar Astrophysics High Energy Physics - Phenomenology
no code implementations • 29 Sep 2005 • Ken'ichiro Nakazato, Kohsuke Sumiyoshi, Shoichi Yamada
In this paper, we compute the spherically symmetric gravitational collapse of these Pop III massive stars.