Deterministic, Solver-Accurate Thermal and Warpage Analysis at Manufacturing Resolution for Advanced 2.5D HBM Packages


Thermal management has become the defining bottleneck in high-performance computing (HPC) and AI accelerator packaging. Modern packages integrate high-power ASICs with multiple High Bandwidth Memory (HBM) stacks on a silicon interposer, creating tightly coupled thermal and mechanical interactions. Die-to-die thermal crosstalk elevates HBM junction temperatures, while coefficient of thermal e... » read more

Multiphysics Fusion Technology for Multi-Die Designs Explained


Multiphysics issues are no longer a late-stage problem. Multi-die designs introduce tightly coupled electrical, thermal, electromagnetic, and electromechanical challenges that impact performance and reliability. This eBook shows why multiphysics analysis must move earlier in the design flow, and how a unified approach enables continuous validation from exploration through signoff. What You�... » read more

Process Variation In The Era Of Scaling: Improving Uniformity With Dummy Fill


As semiconductor patterning continues to scale, even small layout nonuniformities can lead to noticeably different process outcomes. Real chip layouts contain a mix of dense regions, large open regions, and isolated features. As a result, the etch process encounters different “local environments” across the wafer. Even with the same process settings (or recipe), some areas may etch mo... » read more

The Emergence Of Electronics Digital Twins For Software-Defined Vehicles


Digital twins have long played a critical role in engineering and manufacturing. As virtual representations of physical products, systems, and processes, they help organizations innovate faster, improve quality, and reduce costs. Early digital twin technologies were primarily rooted in the physical world, modeling mechanical systems such as engines, buildings, and factory operations to simulate... » read more

From Simulation Checkpoints To Continuous Physics


Semiconductor engineering teams have long relied on an iterative simulation workflow: define the scenario, prepare the model, run the analysis, review the results, adjust the design, and repeat until a decision can be made. That workflow remains essential. Simulation is still one of the primary ways teams evaluate physical behavior before hardware is built. But as chips, packages, and system... » 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

Replay‑based Validation as a Scalable Methodology for Chiplet‑based Systems (Intel, Synopsys)


A new technical paper, "ODIN-Based CPU-GPU Architecture with Replay-Driven Simulation and Emulation," was published by researchers at Intel, Nvidia and Synopsys. Abstract "Integration of CPU and GPU technologies is a key enabler for modern AI and graphics workloads, combining control-oriented processing with massive parallel compute capability. As systems evolve toward chiplet-based archite... » read more

Detecting Chemical Variability At Advanced Nodes


Key Takeaways Yield loss is increasingly driven by molecular variability in thin films, interfaces, and contamination rather than visible defects. Reliability issues often appear first as parametric drift or margin erosion under workload and thermal stress. Detection requires correlating molecular metrology, embedded electrical telemetry, and AI-driven wafer inspection. As s... » read more

Simulate Faster with SimAI Software for High Returns at a Low Cost of Ownership


While the value of engineering simulation has been proven for decades, only a small percentage of engineers report using artificial intelligence (AI) to amplify their simulation results at scale. However, AI has the potential to make large-scale simulations even faster, more precise, and more cost-effective. AI-enabled simulation not only amplifies the performance and returns of simulatio... » read more

How The EDA Industry Will Evolve In 2026


AI will continue to impact every facet of the EDA industry. Pressure will mount in 2026 on design teams to drive productivity gains while technical complexity continues to escalate. This will reshape how teams work and the tools they use. Success will be determined by balancing the trade-offs between integrated platforms and best-of-breed toolchains and developing talent internally rather than ... » read more

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