Automate And Speed Up TCAD Calibration With Expert Modules And ML Calibration Accelerator


Increasing complexity in semiconductor manufacturing has pushed the time to market and R&D costs significantly higher. In the world of AI, there is increased focus on efficiency to help address these issues simultaneously. Wafer-based learning, which is an iterative and linear process, is a key contributor to the increased semiconductor development time and cost. Technology computer-aided d... » read more

Process Model Precision: Calibrating For Accurate Predictions Of FinFET Device Profiles


In modern semiconductor process integration, rapid and well-informed path finding is essential for on-time product release. Virtual Design of Engineering (DOE) and predictive modeling can expose integration risks early; however, their value depends on accurate process models calibrated to real fab behavior.1 Reliable prediction requires strong correlations between model inputs and measurable... » read more

Winning The Global Race For Semiconductor Technology With Virtual Fabrication


Semiconductor process development is no easy task, with each generation of devices more difficult and expensive to create. Traditional cycles of build-and-test development are becoming obsolete, since they are too expensive and time-consuming for the most advanced processes. The high cost of process development Most chip designers developing new products rely on existing manufacturing process... » read more

Pattern Matching In Test And Yield Analysis


By Jonathan Muirhead and Geir Eide It’s no secret that a successful yield ramp directly impacts integrated circuit (IC) product cost and time-to-market. Tools and techniques that help companies ramp to volume faster, while also reducing process and design variability, can be the difference between profit and loss in a competitive market. And while pattern matching technology has been aroun... » read more