Bayesian inference for peak feature extraction and prediction of material property in X-ray diffraction data-Reference-Cited by-同舟云学术

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Bayesian inference for peak feature extraction and prediction of material property in X-ray diffraction data

Published:2024-08-15 Issue:1 Volume:4 Page:
ISSN:2766-0400
Container-title:Science and Technology of Advanced Materials: Methods
language:en
Short-container-title:Science and Technology of Advanced Materials: Methods

Author:

Murakami Ryo¹^ORCID,Sasaki Taisuke T.²,Yoshikawa Hideki¹³,Matsushita Yoshitaka¹,Sodeyama Keitaro³^ORCID,Ohkubo Tadakatsu²,Shinotsuka Hiroshi¹,Nagata Kenji³

Affiliation:

1. Research Network and Facility Services Division, National Institute for Materials Science, Tsukuba, Japan

2. Research Center for Magnetic and Spintronic Materials, National Institute for Materials Science, Tsukuba, Japan

3. Center for Basic Research on Materials, National Institute for Materials Science, Tsukuba, Japan

Funder

MEXT Program: Data Creation and Utilization-Type Material Research and Development Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/27660400.2024.2384352

Reference24 articles.

1. Automatic peak determination in X-ray powder patterns

2. Precision Peak Determination in X-ray Powder Diffraction

3. Recent advances in magnetic structure determination by neutron powder diffraction

4. Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach

5. Automated Data Analysis for Powder X-Ray Diffraction Using Machine Learning

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