Exploring supervised machine learning for multi-phase identification and quantification from powder X-ray diffraction spectra
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Link
https://link.springer.com/content/pdf/10.1007/s10853-023-08343-4.pdf
Reference40 articles.
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2. Pecharsky V, Zavalij P (2009) Fundamentals of powder diffraction and structure characterization of materials
3. Gates-Rector S, Blanton T (2019) The powder diffraction file: a quality materials characterization database. Powder Diffr 34(4):352–360
4. Lutterotti L, Pilliere H, Fontugne C, Boullay P, Chateigner D (2019) Full-profile search-match by the rietveld method. J Appli Crystallogr 52(3):587–598
5. Rietveld HM (1967) Line profiles of neutron powder-diffraction peaks for structure refinement. Acta Crystallogr 22(1):151–152
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