Objective acceptance criteria from microstructure metrics.
Define quantitative metrics based on measured feature distributions (e.g., defect density, spatial heterogeneity, changes in porosity), reducing dependence on subjective interpretation and individual expert judgement.
Drift detection and batch-to-batch comparability.
Track microstructure distributions over time and across sites/suppliers to detect subtle shifts early, enabling faster containment actions before issues compound into downtime or field risk.
Traceable evidence for cross-team alignment.
Generate consistent, auditable outputs that reduce friction between lab, production, supplier, and leadership stakeholders - so decisions don’t stall.
Read our latest case study here.
Polaron has been supporting leading automotive OEMs to quantify electrode level degradation.
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