Rietveld
Fit the whole pattern; watch the difference flatten.
A calculated pattern is fit to the observed one; quantitative phase fractions and structure fall out of minimising the difference curve as Rwp drops.
What this method tells you
Rietveld is one of the analytical methods Niobia AI surfaces inside the materials development branch. The short readout is: A calculated pattern is fit to the observed one; quantitative phase fractions and structure fall out of minimising the difference curve as Rwp drops.
Where it fits in Niobia
Niobia keeps this method connected to the surrounding workflow, so teams can move from diffraction into adjacent methods without reformatting data or rebuilding the context from scratch.
Method-specific output, not just a screenshot
Niobia packages rietveld alongside the rest of the materials development stack, so the result stays connected to the raw inputs, the upstream context, and the next method the team needs to run.
Frequently asked
What does Rietveld help a team understand?
Rietveld sits inside Niobia AI's materials development workflows and helps teams turn raw process, materials, or quality signals into a defensible engineering readout.
When should engineers use Rietveld?
Use Rietveld when the question is better answered by that specific method than by a generic summary: it provides the method-specific signal, tradeoffs, and context the broader workflow depends on.
What should I read alongside Rietveld?
The closest companion methods are XRD. Reading them together makes it easier to see how Niobia AI moves from one analytical method to the next.