Reliability Risks Shift To The Materials Stack


The semiconductor industry’s push into 3D integration and large-format substrates has fundamentally changed the role of materials in packaging. What were once structural supports and electrical insulators have become critical performance limiters. Modern packages contain far more polymers, adhesives, advanced dielectrics, thermal materials, and composite laminates than previous generations... » read more

What’s Next for 2.5D Packaging?


Interposers and bridges, two of the key elements for interconnecting multiple chips and chiplets in an advanced package, are undergoing fundamental changes in how they're built and assembled. Interposers are becoming thicker and more complex, while bridges are being used to reduce the assembled cost. Both efforts are facing new challenges. Interposers are effectively platforms on which mu... » read more

Benefits And Limits Of Using ML For Materials Discovery


Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development. Whether the goal is to identify new applications for known materials or to design new molecules for a particular task, these tools help materials scientists find correlations in large data libraries. Still, machine learning tools are not magic. “Software tools are only as... » read more

3DKs: Making Headway On Chiplet Standards


The chiplet model has been proven by the early adopters. Large companies that successfully developed chips at leading nodes have integrated multiple chiplets into systems, where the entire silicon cycle is performed in-house. But the industry’s long-term goal of a free and open chiplet marketplace, in which companies of any size can reap the rewards and economies of scale associated with mult... » read more

New Panel Production Efforts Target Interposer Costs


The rising cost of increasingly large interposers is spurring renewed interest in panel-level manufacturing, which for years has hobbled along due to the massive and collective effort required by the chip industry to change formats. Several companies are developing their own processes, although there is currently no commercial production. And a new consortium called Joint3, spearheaded by Ja... » read more

Machine Learning Tools Accelerate Materials Discovery


Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven software tools that promise to accelerate all three. Many of the challenges facing the semiconductor manufacturing industry are fundamentally materials science problems. What metal has the lowest resi... » 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

Digital Twins For Packaging: Bridging Design, Fab, Test, And Reliability


Digital twins dominated discussions at SEMICON West this year, appearing in keynote presentations, panel sessions, and workshops. The conversation reflected a noticeable shift in how the industry views the technology. What once was mainly associated with design exploration now spans the manufacturing lifecycle. In packaging and assembly, digital twins are emerging as a way to connect design ... » read more

Powering Efficiency: AI Transforms IC Manufacturing As ICs Fuel AI


The push to grow today’s $500 billion-plus semiconductor industry to $1 trillion in annual revenue is challenging every aspect of the broader supply chain to embrace AI. Artificial intelligence is transforming the way fabs are architected and run, how devices are manufactured, and how server farms are constructed going forward. At the same time, all of this is being enabled by advancements... » read more

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