Gigi Boss

Know how your circuit behaves across process variation before silicon tells you, with Monte Carlo-accurate results up to 30X faster.

Learn How Micron Utilizes Silvaco’s Fab Technology Co-Optimization for Development and Manufacturing of Memory Technologies

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Applying Artificial Intelligence in Fab Technology Co-Optimization (FTCO™)

2024/7/25 本ウェビナーで説明する新しいアプローチは、現在すでに実生産で使用されており、人工知能(AI)と機械学習(ML)を活用して製造工程の正確なモデルを生成します。このアプローチでは、実際の物理学と化学を考慮した製造工程のTCADデジタル・モデル(デジタル・ツイン)を使用します。

2 years ago

Silvaco Reports First Quarter 2024 Financial Results

June 20, 2024

2 years ago

Silvaco Announces Initiatives to Enhance Workforce Development in Semiconductor Industry

June 12, 2024

2 years ago

How Can I Re-Use Individual Monte-Carlo 3D Implant Profiles?

It is often the case that a design of experiments (DOE) is required to optimize the performance of a particular device. Sometimes this simply means tweaking the implant dose for

2 years ago

Join Silvaco at DAC 2024

May 30, 2024

2 years ago

Comparison of Models for Fluorine Effect on Dopant Diffusion in CMOS Processes

Recently a new diffusion model was introduced to Victory Process: the CMOS model. This model aims at taking on the challenges brought by the specificities of CMOS device processing such

Silvaco Announces Pricing of Initial Public Offering

May 8, 2024

Silvaco Announces Launch of Initial Public Offering

April 30, 2024

Silvaco Announces Expanded Partnership with Micron Technology

April 16, 2024