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- W3100345092 abstract "We applied the clustering technique using DTW (dynamic time wrapping) analysis to XRD (X-ray diffraction) spectrum patterns in order to identify the microscopic structures of substituents introduced in the main phase of magnetic alloys. The clustering is found to perform well to identify the concentrations of the substituents with successful rates (around 90%). The sufficient performance is attributed to the nature of DTW processing to filter out irrelevant informations such as the peak intensities (due to the incontrollability of diffraction conditions in polycrystalline samples) and the uniform shift of peak positions (due to the thermal expansions of lattices)." @default.
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- W3100345092 date "2020-06-05" @default.
- W3100345092 modified "2023-10-03" @default.
- W3100345092 title "Machine‐Learning Clustering Technique Applied to Powder X‐Ray Diffraction Patterns to Distinguish Compositions of ThMn <sub>12</sub> ‐Type Alloys" @default.
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- W3100345092 doi "https://doi.org/10.1002/adts.202000039" @default.
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