Particle size
The spread often matters more than the mean.
A particle-size distribution with D10, D50 and D90 markers. A wide D90/D10 ratio can hurt processing even when the median diameter looks fine.
What this method tells you
Particle size is one of the analytical methods Niobia AI surfaces inside the materials development branch. The short readout is: A particle-size distribution with D10, D50 and D90 markers. A wide D90/D10 ratio can hurt processing even when the median diameter looks fine.
Where it fits in Niobia
Niobia keeps this method connected to the surrounding workflow, so teams can move from microscopy into adjacent methods without reformatting data or rebuilding the context from scratch.
Method-specific output, not just a screenshot
Niobia packages particle size 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 Particle size help a team understand?
Particle size 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 Particle size?
Use Particle size 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 Particle size?
The closest companion methods are SEM / TEM, AFM. Reading them together makes it easier to see how Niobia AI moves from one analytical method to the next.