| Feature | | Data Viewer | PowDLL | | :--- | :--- | :--- | :--- | | Primary Function | Full‑featured XRD analysis | Free data viewing & conversion | Universal file‑to‑file conversion | | Input Methods | Directly reads .CSV , .XLSX , .XLS files | Imports .CSV to view/convert | Converts to/from many XRD formats, including Excel Multiple XY | | Output to XRDML | Can save to XRDML via File → Export → ASCII , then manual creation? | Mainly for converting XRDML to other formats | Converts to many formats, including XRDML | | Key Advantages | Native support for many Excel formats; part of the standard analysis workflow | Free, batch processing, easy to use | Handles ~30+ XRD formats; extremely versatile | | Primary Concern | Commercial, requires paid license | Cannot directly convert a .CSV to .XRDML | Interface is a .NET application; less polished GUI | | Best For | Users with an existing HighScore Plus license | Users who already have XRDML files and need to share them in other formats | Converting from Excel data to XRDML via a CSV or XY intermediate step |
For researchers with access to Malvern Panalytical’s ecosystem, provides the most integrated and professional workflow. For others, or for those needing a flexible, free solution, PowDLL serves as an excellent universal bridge, reading your CSV data and outputting a valid XRDML file. Python scripting remains a powerful, customizable option for advanced users who need to automate the process.
– compare numerical values (export back to CSV from XRDML and diff with original).
Before archiving or publishing your data, pass your newly generated XRDML file through these three quality checks: convert excel to xrdml high quality
In X-ray diffraction (XRD) analysis, the quality of your data format directly impacts the accuracy of your material characterization. Many researchers record raw experimental data or calculated diffraction models in Microsoft Excel (XLSX/CSV) files. However, modern analytical software requires specialized, structured formats like XRDML.
Column A must strictly represent the independent variable (typically 2-Theta positions). Column B must represent the dependent variable (Intensity counts).
Column A must contain the independent variable (usually Angle 2θ in degrees). Column B must contain the dependent variable (Intensity in counts). | Feature | | Data Viewer | PowDLL
(Most control)
If you do not have specialized software, you can convert Excel data into formats that XRD analysis programs can easily "bridge" to XRDML: Export as .ASC
I can customize the code or workflow steps directly for your specific laboratory dataset. Share public link Python scripting remains a powerful, customizable option for
Standard deviations, background counts, or multi-channel detector data. The XRDML Structure (Hierarchical XML)
Using Python is the gold standard for this conversion. It ensures that floating-point numbers do not lose precision and automatically formats the XML nodes according to the Panalytical schema.
is a widely used free software for inter-converting between almost all XRD data formats. ResearchGate Save your Excel data as a 2-column PoWDLL Converter Select your input file and set the "Output Format" to PANalytical XRDML
: Step size, scan mode (continuous or step), and goniometer radii. Why High-Quality Conversion Matters