2 papers
cond-mat.soft2025
Bayesian sparse modeling for interpretable prediction of hydroxide ion conductivity in anion-conductive polymer membranes
Ryo Murakami, Kenji Miyatake, Ahmed Mohamed Ahmed Mahmoud +2
Anion-conductive polymer membranes have attracted considerable attention as solid electrolytes for alkaline fuel cells and electrolysis cells. Their hydroxide ion conductivity vari…
cond-mat.mtrl-sci2025
Rapid, Comprehensive Search of Crystalline Phases from X-ray Diffraction in Seconds via GPU-Accelerated Bayesian Variational Inference
Ryo Murakami, Kenji Nagata, Yoshitaka Matsushita +1
In analysis of X-ray diffraction data, identifying the crystalline phase is important for interpreting the material. The typical method is identifying the crystalline phase from th…