Bayesian sparse modeling of extended x-ray absorption fine structure to determine interstitial oxygen positions in yttrium oxyhydride epitaxial thin film-Reference-Cited by-同舟云学术

Bayesian sparse modeling of extended x-ray absorption fine structure to determine interstitial oxygen positions in yttrium oxyhydride epitaxial thin film

Published:2021-12-01 Issue:12 Volume:11 Page:125013
ISSN:2158-3226
Container-title:AIP Advances
language:en
Short-container-title:AIP Advances

Author:

Kumazoe Hiroyuki¹^ORCID,Igarashi Yasuhiko²³^ORCID,Iesari Fabio⁴,Shimizu Ryota³⁵^ORCID,Komatsu Yuya⁵,Hitosugi Taro⁵^ORCID,Matsumura Daiju⁶,Saitoh Hiroyuki⁷^ORCID,Iwamitsu Kazunori⁸^ORCID,Okajima Toshihiro⁴^ORCID,Seno Yoshiki⁹^ORCID,Okada Masato¹⁰¹¹^ORCID,Akai Ichiro¹^ORCID

Affiliation:

1. Institute of Industrial Nanomaterials, Kumamoto University, Kumamoto 860-8555, Japan

2. Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba 305-8573, Japan

3. Japan Science and Technology Agency, PRESTO, Saitama 332-0012, Japan

4. Aichi Synchrotron Radiation Center, Aichi 489-0965, Japan

5. School of Materials and Chemical Technology, Tokyo Institute of Technology, Tokyo 152-8552, Japan

6. Materials Sciences Research Center, Japan Atomic Energy Agency, Hyogo 679-5148, Japan

7. Quantum Beam Science Research Directorate, National Institute for Quantum Science and Technology, Hyogo 679-5148, Japan

8. Technical Division, Kumamoto University, Kumamoto 860-8555, Japan

9. Kyushu Synchrotron Light Research Center, Saga 841-0005, Japan

10. Department of Complexity Science and Engineering, The University of Tokyo, Chiba 277-8561, Japan

11. Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Ibaraki 305-0047, Japan

Funder

Core Research for Evolutional Science and Technology

Precursory Research for Embryonic Science and Technology

Japan Society for the Promotion of Science

AGC

Publisher

AIP Publishing

Subject

General Physics and Astronomy

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0071166

Reference30 articles.

1. EXAFS: Basic Principles and Data Analysis

2. A New Interpretation of EXAFS Spectra in Real Space. I. General Formalism

3. A New Interpretation of EXAFS Spectra in Real Space: II. A Comparison of the Regularization Technique with the Fourier Transformation Method

4. Neural Network Approach for Characterizing Structural Transformations by X-Ray Absorption Fine Structure Spectroscopy

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