Author's Latest Posts


Low-Temp Solders Are Suddenly Critical For Chiplets And Photonics


Key Takeaways: Tin-bismuth-based solders enable reduced warpage and compatibility with silicon photonics and other temperature-sensitive components. A novel soldering process using white light could help prevent cracks in flip-chip BGA package solder balls, while reducing the carbon footprint. Hypoeutectic Sn-Bi based solders prove especially promising as an SAC305 replacement. ... » read more

AI Accelerator Testing Depends On DFT Innovations


Key Takeaways: I/O and lane repair capabilities are becoming critical to improving yield. System-level testing catches marginal defects and rare defects such as silent data corruption errors. Synopsys and TSMC developed a multi-die demo vehicle capable of full test, monitor, debug, and repair capability across the system’s lifecycle. The proliferation of accelerators in AI... » read more

TSV Complexity Leads To Manufacturing Bottleneck


Key Takeaways: Through-silicon vias are the biggest enabler of 3D chip stacking and chip-to-PCB connections through silicon interposers. The AI boom is causing HBM and advanced assembly shortages, straining the supply chain. Optimization around etch, fill and reveal help reduce TSV cost. Through-silicon vias (TSVs) provide essential interconnects between DRAM dies inside hig... » read more

AI Accelerators Usher In New Era For IC Test


Key Takeaways The parallelism in AI accelerators enables low latency but complicates failure isolation. HBM can account for 50% of package cost, so known-good stack assurance is critical. DFT and test cooperate to solve final test, singulated die test, SLT, and in-system test for data centers. AI accelerators are used for everything from training large language models to mak... » read more

Beating The Heat In 3D Packages


Key Takeaways: Thermal management is a central design constraint, requiring early, thorough planning. Accurate thermal simulation requires AI-driven adaptive meshing and real-world validation. Innovative STCO strategies can drastically reduce GPU peak temperature. As HPC and AI accelerators push power densities to 1kW and beyond, the heat generated by rapidly switching tran... » read more

Tool Matching Getting Tougher Across Test & Metrology


Key Takeaways Engineers leverage both device-specific and tool-level data to identify a process "sweet spot." Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps capture the nuances of a tool's signature. Many people outside of the semiconductor industry wonder how humans can fabricate transistors with tens of nanometer sca... » read more

Making Hybrid Bonding Better


Key Takeaways Fab processes are optimizing for cleanliness, planarity, and high bond quality. Nanotwinned copper and SiCN PVD enable lower anneal and deposition temperatures for HBM. A thin, protective layer helps preserve the Cu/dielectric during aggressive processes. The future of semiconductor manufacturing is no longer dependent just on shrinking features. Instead, chipm... » read more

Backside Power Delivery Creates Fab Tool, Thermal Dissipation Barriers


Key Takeaways Backside power delivery reduces routing congestion at the most advanced nodes and offers significant performance improvement options. But it also adds a bunch of new challenges involving via alignment and interconnects. Still, leading-edge foundries are making progress, and all of them plan to offer BPDNs at 2nm and below. Backside power delivery networks deliv... » read more

Catching Critical Defects In TSVs And Stacked Chips


Key Takeaways Variation is becoming a bigger problem in multi-die assemblies with TSVs and hybrid bonding. Multi-modal approaches are required to test these devices. AI plays a role in improving defect capture rate and distinguishing between yield-killing and false positives. New methods for interconnecting devices using through-silicon vias (TSVs) and hybrid bonding in stac... » read more

Secure Data Sharing Becoming Critical For Chip Manufacturing


Semiconductor companies increasingly need to share data to solve problems faster, boost yield, and trace the root cause of failed devices. But to make that work, companies need assurances that their data will be secure, free from data leaks that could result in the loss of valuable IP. Data sharing is becoming critical at leading device nodes, where process variability is starting to consume... » read more

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