X-ray Diffraction Data Analysis by Machine Learning Methods—a review

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Document Outline

• Introduction 
  • Overview of X-ray Diffraction (XRD) Technique 
  • Applications of XRD Data Analysis 
  • Motivation for Machine Learning in XRD Data Analysis 
• Challenges in Traditional XRD Data Analysis 
  • Data Preprocessing and Reduction 
  • Phase Identification and Crystallographic Analysis 
  • Quantitative Phase Analysis 
  • Microstructural Characterization 
• Introduction to Machine Learning 
• Applications of Machine Learning in XRD Data Analysis 
  • Pattern Matching and Classification Algorithms 
  • Quantitative Phase Analysis 
  • Lattice Analysis 
  • Defects and Substituent Concentration Detection 
  • Microstructural Characterization 
  • Challenges and Limitations of Machine Learning 
• Conclusions and Future Development 
• References