[14a-A205-1~10] 23.1 Joint Session N "Informatics"

[14a-A205-10] Bayesian statistics-based analysis of AC impedance spectra of a simple electrochemical device

〇(PC)Ryo Nakayama¹, Yu Miyazaki², Yasuo Nobuaki³, Yuki Watanabe¹, Ryota Shimizu^1,4, Kazunori Nishio¹, Yasunobu Ando⁵, Masakazu Sekijima^3,6, Taro Hitosugi¹ (1.Sch. Mater. Chem. Tech., Tokyo Tech, 2.Dep. Appl. Phys., Tokyo Univ., 3.Sch. Comput., Tokyo Tech, 4.JST-PRESTO, 5.AIST, 6.IIR, Tokyo Tech)

Keywords:AC impedance spectroscopy, Bayesian statistics, Bayesian inference

AC impedance spectroscopy is an important method for the analysis of electrochemical reactions. In conventional analysis of AC impedance spectra, the selection of an equivalent circuit models is visually determined from a Nyquist plot; this visual determination can be inaccurate. Recently, we have proposed the analysis of AC impedance spectra using Bayesian statistics. In this study, we applied this method to analyze the impedance spectra obtained from a simple electrochemical device, Ni/Li₃PO₄(solid electrolyte)/Ni.