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20222026
most citedExploring Supervised Machine Learning for Multi-Phase Identification and Quantification from Powder X-Ray Diffraction Spectra

37 citations · 38 across the 4 of their papers we have counts for

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cond-mat.mtrl-sci2022★ 37 cited

Exploring Supervised Machine Learning for Multi-Phase Identification and Quantification from Powder X-Ray Diffraction Spectra

Jaimie Greasley, Patrick Hosein

Powder X-ray diffraction analysis is a critical component of materials characterization methodologies. Discerning characteristic Bragg intensity peaks and assigning them to known c…