Author: Jamal Smith
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Jamal Smith
Know how your circuit behaves across process variation before silicon tells you, with Monte Carlo-accurate results up to 30X faster.
4 weeks ago
TCAD-Aware SPICE Model Extraction with Utmost IV: From Manufacturing to Surrogate Circuit Modeling
TCAD-Aware SPICE Model Extraction with Utmost IV: From Manufacturing to Surrogate Circuit Modeling Abstract Accurate compact models are essential for translating device behavior into trustworthy circuit simulation, but extracting a
From Standard Cells to Strategic Advantage: Building Differentiated PPA Value
Abstract: An IC’s optimal balance of power, performance, and area (PPA) depends on the target application, so building them from generic standard cell libraries inevitably leaves customer value unrealized. With
1 month ago
Predictive TCAD Modeling of Normally-Off p-GaN HEMTs for Dynamic RDS(on), Leakage, Breakdown, and ML-Based Design Exploration
Predictive TCAD Modeling of Normally-Off p-GaN HEMTs for Dynamic RDS(on), Leakage, Breakdown, and ML-Based Design Exploration Abstract This article presents a practical simulation workflow for predictive simulation of normally-off p-GaN
2 months ago
Silvaco Announces Partnership with Dassault Systèmes to Advance First-Time-Right Semiconductor Manufacturing
Silvaco Announces Partnership with Dassault Systèmes to Advance First-Time-Right Semiconductor Manufacturing Companies will develop connected digital twin workflows that help semiconductor manufacturers achieve first-time-right process development, accelerate yield ramps, and
2 months ago
Silvaco Reports Second Quarter 2026 Financial Results
Silvaco Reports Second Quarter 2026 Financial Results August 6, 2026 View Press Release Download PDF
2 months ago
AI-Powered Surrogates: From Process Geometry to I‑V Curves
AI-Powered Surrogates: From Process Geometry to I‑V Curves Abstract Modern semiconductor development requires rapid exploration of large design spaces while maintaining the predictive accuracy of physics-based simulation. In this webinar,
3 months ago
Accelerating Manufacturing-Aware Simulations for Photonic Integrated Circuits with FTCO™ and Digital Twins
Accelerating Manufacturing-Aware Simulations for Photonic Integrated Circuits with FTCO™ and Digital Twins Abstract Photonic integrated circuit (PIC) performance is increasingly bounded by fabrication realities such as sidewall angle, critical-dimension bias,
3 months ago
Silvaco to Accelerate Physics-Based Digital Twins for Semiconductor Design and Manufacturing Using NVIDIA AI and Accelerated Computing
Silvaco to Accelerate Physics-Based Digital Twins for Semiconductor Design and Manufacturing Using NVIDIA AI and Accelerated Computing July 26, 2026 View Press Release Download PDF