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![[Figure 5]](yr5164fig5mag.jpg)
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Figure 5
XRD analysis pipeline with three major sections. The data-augmentation process transforms crystal structure files and XRD data into a refinement format with systematic parameter variations. These undergo structural refinement and quality evaluation through an adaptive feedback loop to produce a comprehensive training dataset. The CNN training section applies feature extraction, batch normalization and parameter-optimized learning paths to this dataset. The resulting model includes correlation analysis of parameter relationships. The automated Rietveld refinement section applies this model to real-world diffraction patterns. It creates refinement files with predicted parameters, conducts automated structure refinement and produces visualizations that compare the CNN results with those from traditional methods. |
![[Figure 5]](yr5164fig5.jpg)
 | JOURNAL OF APPLIED CRYSTALLOGRAPHY |
ISSN: 1600-5767
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