13 citations · 25 across the 7 of their papers we have counts for
7 papers
Quantifying physical insights cooperatively with exhaustive search for Bayesian spectroscopy of X-ray photoelectron spectra
Hiroyuki Kumazoe, Kazunori Iwamitsu, Masaki Imamura +4
We analyzed the X-ray photoemission spectra (XPS) of carbon 1s states in graphene and oxygen-intercalated graphene grown on SiC(0001) using Bayesian spectroscopy. To realize highly…
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning
Naoya Mamada, Masaichiro Mizumaki, Ichiro Akai +1
We estimate the spatial distribution of heterogeneous physical parameters involved in the formation of magnetic domain patterns of polycrystalline thin films by using convolutional…
Bayesian Spectral Deconvolution of X-Ray Absorption Near Edge Structure Discriminating High- and Low-Energy Domains
Shuhei Kashiwamura, Shun Katakami, Ryo Yamagami +6
In this paper, we propose a Bayesian spectral deconvolution considering the properties of peaks in different energy domains. Bayesian spectral deconvolution regresses spectral data…
Appropriate basis selection based on Bayesian inference for analyzing measured data reflecting photoelectron wave interference
Yasuhiko Igarashi, Fabio Iesari, Hiroyuki Setoyama +4
In this study, we applied Bayesian inference for extended X-ray absorption fine structure (EXAFS) to select an appropriate basis from among Fourier, wavelet and advanced Fourier ba…
Sparse Modeling analysis of Extended X-ray Absorption Fine Structure data using two-body expansion
Fabio Iesari, Hiroyuki Setoyama, Yasuhiko Igarashi +6
Analysis of extended X-ray absorption fine structure (EXAFS) data by the use of sparse modeling is presented. We consider the two-body term in the n-body expansion of the EXAFS sig…
Non-Negative Matrix Factorization for 2D-XAS Images of Lithium Ion Batteries
Hiroki Tanimoto, Xu Hongkun, Masaishiro Mizumaki +9
Lithium-ion secondary batteries have been used in a wide variety of purposes, such as for powering mobile devices and electric vehicles, but their performance should be improved. O…
A Phase Prediction Method for Pattern Formation in Time-Dependent Ginzburg-Landau Dynamics for Kinetic Ising Model without a priori Assumptions on Domain Patterns
Ryoji Anzaki, Shin-ichi Ito, Hiromichi Nagao +3
We propose a phase prediction method for the pattern formation in the uniaxial two-dimensional kinetic Ising model with the dipole-dipole interactions under the time-dependent Ginz…