Bayesian estimation to identify crystalline phase structures for X-ray diffraction pattern analysis
Author:
Affiliation:
1. Research Network and Facility Services Division, National Institute for Materials Science, Tsukuba, Japan
2. Graduate School of Informatics and Engineering, The University of Electro-Communications, Chofu, Japan
Funder
MEXT/JSPS KAKENHI
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/27660400.2023.2300698
Reference21 articles.
1. Savitzky-Golay Smoothing Filters
2. Automatic peak determination in X-ray powder patterns
3. Precision Peak Determination in X-ray Powder Diffraction
4. X-ray Diffraction Data Analysis by Machine Learning Methods—A Review
5. Exploring supervised machine learning for multi-phase identification and quantification from powder X-ray diffraction spectra
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Bayesian inference for peak feature extraction and prediction of material property in X-ray diffraction data;Science and Technology of Advanced Materials: Methods;2024-08-15
2. Automatic Identification of Crystal Phase Using Bayesian Estimation in X-ray Diffraction Pattern;Nihon Kessho Gakkaishi;2024-05-31
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