K. Kameda

activity

20222026

most citedMachine learning the screening factor in the soft bond valence approach for rapid crystal structure estimation

7 citations · 7 across the 2 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2026

Band Structure Modulation of ZrO2 Nanoparticles for Control of CO Adsorption Properties: A Combined Density Functional Theory - Density Functional Tight Binding Study

Kexin Chen, William Dawson, Aulia Sukma Hutama +4

We present a combined density functional theory (DFT) and density functional tight binding (DFTB) study of zirconia (ZrO2) nanoparticles of experimentally relevant sizes of several…

cond-mat.mtrl-sci2024★ 7 cited

Machine learning the screening factor in the soft bond valence approach for rapid crystal structure estimation

Keisuke Kameda, Takaaki Ariga, Kazuma Ito +2

Development of new functional ceramics is important for several applications, including electrochemical batteries and fuel cells. Computational prescreening and selection of such m…

nucl-ex2022

Angular distribution of $γ$ -rays from a neutron-induced $p$ -wave resonance of $^{132}$ Xe

T. Okudaira, Y. Tani, S. Endo +16

A neutron-energy dependent angular distribution was measured for individual $γ$ -rays from the 3.2 eV $p$ -wave resonance of $^{131}$ Xe+ $n$ , that shows enhanced parity violation owin…

Band Structure Modulation of ZrO2 Nanoparticles for Control of CO Adsorption Properties: A Combined Density Functional Theory - Density Functional Tight Binding Study

Machine learning the screening factor in the soft bond valence approach for rapid crystal structure estimation

Angular distribution of γ-rays from a neutron-induced p-wave resonance of 132Xe

Angular distribution of $γ$ -rays from a neutron-induced $p$ -wave resonance of $^{132}$ Xe