With Chiplets, What Role Does Economics Play?


Key Takeaways: For the data center, chiplet economics matter, but they’re not a primary decision-driver. With the exception of processor families, chiplets cannot address consumer markets today, where economics dominate. If a chiplet marketplace materializes, the economics may be friendlier because chiplets will have multiple customers and applications. Chiplets are notori... » read more

When Semiconductor Materials Misbehave


Key Takeaways Material behavior in production depends on the process context that no development environment can fully replicate. In advanced packaging, the interactions that cross domain boundaries are increasingly where failures originate. The most accurate materials data is also the most commercially sensitive, leaving simulation models calibrated against generic inputs rather tha... » read more

When Cleaning Chips Isn’t Clean Enough


Key Takeaways Contamination is becoming much more difficult to identify at the most advanced nodes, forcing fabs to rethink how control is achieved. Issues may show up as electrical or statistical anomalies, not particles, and not at time zero. Reliable classification is needed to identify critical contamination and reduce time and effort spent on nuisance failures. For much... » read more

Macro Defect Inspection For Mission-Critical Defense, Aerospace, And Advanced R&D Fabs


Some fabs build consumer chips that sit inside phones and laptops. Others build chips that must survive in orbit, under the Arctic ice, or deep beneath the Earth’s surface. Fabs serving defense, aerospace, national laboratories, and other advanced R&D programs operate under some of the most stringent requirements in the industry. For these facilities, yield is not the only concern. Sec... » read more

Operator Shortage? Intelligent Machine Vision Can Give More And Better Wafer Inspection


Right now, wafer manufacturers are having serious problems in finding and retaining operators. And they're desperately looking for ways to keep their fabs running effectively. Fortunately, machine vision can offer a smart solution. To see how it works, let’s first look at the basic fab workflow and check out some opportunities for improvement… How to improve ADI In a typical fab, after... » read more

The Thermal Trap: How Dielectrics Limit Device Performance


The spread of artificial intelligence is forcing an uncomfortable truth on semiconductor manufacturing. Thin films, which are essential for isolating signals and insulating different components and metal layers, are becoming heat traps as physical dimensions continue to shrink in chips used inside AI data centers. That, in turn, is limiting how fast these chips can process data and increasing t... » read more

Ensuring Reliability Becomes Harder In Multi-Die Assemblies


Multi-die assemblies are bringing together a variety of materials and processes with distinctly different physical properties, creating significant challenges in manufacturing and packaging that can impact yield at time zero and reliability in the field. What passes electrical screening at the end of the line may look good on paper, but these devices can still fail once exposed to rapid and ... » read more

Stop The Drip-Drip-Drip Of Intermittent In-Line Wafer Defects And Increase Your Yields


Full-blown process excursions that affect every wafer are comparatively easy for fabs to detect and fix. However, “onesie-twosie,” lower-volume excursions can go unresolved for months or even years. Some process engineers call them "slow moving excursions.” And over time, those low-volume defects can add up to significant yield losses. Ignoring a problem Some intermittent process excurs... » read more

Hybrid Approach Emerges For Edge/Cloud Inspection Of Chips


An explosion in data from inspection images and metrology measurements is creating a confusing set of demands for chipmakers and their equipment vendors. On one hand they need the massive storage and compute resources of the cloud to utilize AI/ML-based models, but they also need the faster response time of the edge to make adjustments at the tool level. Balancing these requirements is a mas... » read more

Smarter Packaging: How AI is Reshaping Assembly and Materials Control


When a multi-die package worth $500 fails final test because of a defect that originated three process steps earlier, the economics of advanced packaging become painfully clear. Each excursion carries downstream costs that ripple across assembly, final test, and even system qualification. As packaging margins tighten, the industry is betting on artificial intelligence (AI) to catch those pro... » read more

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