113 citations · 178 across the 4 of their papers we have counts for
4 papers
TeaNet: universal neural network interatomic potential inspired by iterative electronic relaxations
So Takamoto, Satoshi Izumi, Ju Li
A universal interatomic potential for an arbitrary set of chemical elements is urgently needed in computational materials science. Graph convolution neural network (GCN) has rich e…
Elucidation of the atomic-scale mechanism of the anisotropic oxidation rate of 4H-SiC between the () Si-face and () C-face by using a new Si-O-C interatomic potential
So Takamoto, Takahiro Yamasaki, Takahisa Ohno +3
Silicon carbide (SiC) is an attractive semiconductor material for applications in power electronic devices. However, fabrication of a high-quality SiC/SiO interface has been…
Atomistic mechanism of graphene growth on SiC substrate: Large-scale molecular dynamics simulation based on a new charge-transfer bond-order type potential
So Takamoto, Takahiro Yamasaki, Jun Nara +4
Thermal decomposition of silicon carbide is a promising approach for the fabrication of graphene. However, the atomistic growth mechanism of graphene remains unclear. This paper de…
Doping-dependence of nodal quasiparticle properties in high- cuprates studied by laser-excited angle-resolved photoemission spectroscopy
K. Ishizaka, T. Kiss, S. Izumi +11
We investigate the doping dependent low energy, low temperature ( = 5 K) properties of nodal quasiparticles in the d-wave superconductor BiSrCaCuO (B…