Bulletin of the American Physical Society
APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020; Denver, Colorado
Session B64: Nickelate, Ferrite, and Cobaltate-Based Heterostructures: Metal-Insulator Transition, Magnetism, and Orbital Ordering
11:15 AM–2:15 PM,
Monday, March 2, 2020
Room: Mile High Ballroom 4E
Sponsoring
Unit:
DMP
Chair: Divine Kumah, North Carolina State University
Abstract: B64.00013 : Bayesian inference of perovskite oxide interface structure based on surface x-ray diffraction data
Presenter:
Kazuki Nagai
(Graduate School of Engineering Science, Osaka university)
Authors:
Kazuki Nagai
(Graduate School of Engineering Science, Osaka university)
Masato Anada
(Graduate School of Engineering Science, Osaka university)
Yoshinori Nakanishi-Ohno
(Graduate School of Arts and Science, University of Tokyo)
Masato Okada
(Graduate School of Frontier Sciences, University of Tokyo)
Yusuke Wakabayashi
(Graduate School of Science, Tohoku University)
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).
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