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Unified Emulation and Prototyping: Pipedream or Reality?
Plessey Semiconductors deployed yieldWerx as a centralized yield-management and analytics platform to handle the massive data volumes and complex failure mechanisms in its monolithic MicroLED displays for near-eye augmented-reality systems, where sub-3-micrometre pixel geometries, luminance of several million nits, and billions of pixels per wafer generate over ten billion data points per wafer—overwhelming conventional semiconductor yield systems. The platform ingests heterogeneous test and inspection streams, including Standard Test Data Format files for electrical parameters (continuity, leakage, power) and optical parameters (luminance, wavelength, test images). High-resolution spatial clustering separates isolated random defects from systematic signatures like contamination or alignment drift, enabling engineers to trace failures from wafer to pixel through fusion-bonding genealogy. Dual-mode thresholds allow exploratory engineering limits alongside controlled production limits, supporting new-product introduction without altering qualified rules. The architecture is transitioning to distributed cloud-object storage for petabyte-scale processing. By linking incoming-wafer inspection, inline defectivity, end-of-line electrical results, and pixel-level optical performance, yieldWerx shortens root-cause analysis and strengthens supply-chain traceability. Expected operational effects include faster yield learning, improved engineering velocity, greater yield stability, lower infrastructure costs, and shorter time to market—though these benefits are not yet quantified as the cloud migration and evaluation across production lots remain ongoing activities.