01-01 – What is XRD and Why it Matters
01-02 – Basic Principles – How XRD Works
01-03 – Anatomy of an XRD Pattern
01-04 – What XRD Can and Cannot Do – Key Limitations
01-05 – Applications of XRD Technique
02-01 – Sample Preparation – The Underestimated Variable
02-02 – Bulk vs Clay Data
02-03 – Clay Expandability Assessment
02-04 – Key Factors Affecting Data Quality
03-01 – Common Types of Error in XRD
03-02 – What Good Data Looks Like
03-03 – Consequences of Bad XRD Workflow
03-04 – Special Considerations for Clays
04-01 – What is in a Good XRD Report
04-02 – Trusting XRD Data – Red Flags in XRD Reports
04-03 – XRD–XRF Mutual QC Workflow
04-04 – Understanding Uncertainty
05-01 – Good vs. Bad Dataset Comparison
05-02 – Clay Misinterpretation Case Study
05-03 – Quantification Pitfalls Case Study
05-04 – Troubleshooting Old XRD Data
06-01 – How to Request XRD Analysis
06-02 – Quick QC Checklist
06-03 – Common Mistakes to Avoid
06-04 – Final Summary