68 citations · 329 across the 27 of their papers we have counts for
27 papers
Field-Induced Criticality in YbCu4Au
T. Taniguchi, K. Osato, H. Okabe +19
YbCu4Au is a unique material exhibiting multiple quantum fluctuations simultaneously. In this study, we investigated the field-induced criticality in YbCu4Au, based on comprehensiv…
Basis Function Dependence of Estimation Precision for Synchrotron-Radiation-Based Mössbauer Spectroscopy
Binsheu Shieh, Ryo Masuda, Satoshi Tsutsui +4
Mössbauer spectroscopy is a technique employed to investigate the microscopic properties of materials using transitions between energy levels in the nuclei. Conventionally, in sync…
Quantitative Selection of Sample Structures in Small-Angle Scattering Using Bayesian Methods
Yui Hayashi, Shun Katakami, Shigeo Kuwamoto +3
Small-angle scattering (SAS) is a key experimental technique for analyzing nano-scale structures in various materials.In SAS data analysis, selecting an appropriate mathematical mo…
Mechanism of intermetallic charge transfer and bond disproportionation in BiNiO and PbNiO revealed by hard x-ray photoemission spectroscopy
Tatsuya Yamaguchi, Mizuki Furo, Yuki Sakai +11
Perovskites with Bi or Pb on the A-site host a number of interesting and yet to be understood phenomena such as negative thermal expansion in BiNiO. We employ hard x-ray photoe…
Sequential Experimental Design for Spectral Measurement: Active Learning Using a Parametric Model
Tomohiro Nabika, Kenji Nagata, Shun Katakami +2
In this study, we demonstrate a sequential experimental design for spectral measurements by active learning using parametric models as predictors. In spectral measurements, it is n…
Efficient NMR measurement and data analysis supported by the Bayesian inference : The case of the heavy fermion compound YbCo2Zn20
H. Ueda, S. Katakami, S. Yoshida +4
We propose a data-driven technique to infer microscopic physical quantities from nuclear magnetic resonance(NMR) spectra, in which the data size and quality required for the Bayesi…