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Bayesian inference of perovskite oxide interface structure based on surface x-ray diffraction data

ORAL

Abstract

Crystal truncation rod (CTR) scattering method is one of the approaches to determine the structure of ultrathin films. To perform structure refinement from CTR scattering data, a good initial model is needed to obtain the correct structure. Any surface electron density analysis requires to extrapolate the scattering data.
We developed a robust structure refinement method for experimentally obtained CTR scattering data by using Bayesian inference with an exchange Monte-Carlo method.
The exchange Monte Carlo method [2] enables us to search a wider parameter area in the parameter hyperspace, resulting in a better acceptance for the initial model. Our test analysis shows the structure of LaNiO3 ultrathin film on LaAlO3 was successfully refined from a simple LaAlO3 structure as the initial model.
The merit of using Bayesian inference is providing the degree of parameter uncertainty with a background of informatics. Proper estimation of uncertainty will be discussed.
[1] M. Anada et al., J. Appl. Cryst. 50, 1611-1616 (2017).
[2] K. Hukushima and K. Nemoto, J. Phys. Soc. Jpn. 65, 1604 (1996).

Presenters

  • Kazuki Nagai

    Graduate School of Engineering Science, Osaka university, Osaka Univ

Authors

  • Kazuki Nagai

    Graduate School of Engineering Science, Osaka university, Osaka Univ

  • Masato Anada

    Graduate School of Engineering Science, Osaka university, Osaka Univ

  • Yoshinori Nakanishi-Ohno

    Graduate School of Arts and Science, University of Tokyo

  • Masato Okada

    Univ of Tokyo, Graduate School of Frontier Sciences, University of Tokyo

  • Yusuke Wakabayashi

    Graduate School of Science, Tohoku University, Department of Physics, Graduate School of Science, Tohoku Univ