Automated microstructure quantification, at scale.
Segment phases and features (e.g., pores, cracks, particles, interfaces) to produce consistent metrics such as size distributions, volume fractions, morphology descriptors, and defect statistics - across large datasets.
Root-cause and change analysis between conditions.
Compare microstructure distributions across process/material variants to pinpoint what changed (and by how much), supporting faster hypothesis testing and tighter iteration loops.
Move design in-silico.
Use Polaron’s models to explore how design parameters and process conditions shift the resulting microstructure, and what that means for performance and reliability. This enables teams to virtually screen thousands of variations and narrow to the most promising regions before committing to additional experiments, drastically reducing the time and number of experimental iterations needed to reach targets.
Read our latest case study here.
Polaron has been supporting leading automotive OEMs to quantify electrode level degradation.
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