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2024

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

2 years ago

Silvaco Announces Expected Addition to Three US Russell Indexes

September 16, 2024

2 years ago

如何以原子级精度仿真二维TMD沟道FET?

视频回放已上线

2 years ago

2024 TCAD基准版本软件发布

  • 第一部分:Victory Process——2024基准版本中的新功能
  • 第二部分:Victory Device——2024基准版本中的新功能
  • 第三部分:Victory DoE——2024基准版本中的新功能

2 years ago

美光科技:如何利用Silvaco的FTCOTM平台进行存储技术的开发和制造

视频回放已上线

2 years ago

Silvaco Reports Second Quarter 2024 Financial Results

August 7, 2024

2 years ago

将人工智能应用于FTCOTM

2024年7月25日 FTCO基于实际生产工艺中的物理和化学机制,利用人工智能(AI)和机器学习(ML)生成精确的TCAD数字模型(数字孪生)。对于这种数字孪生模型,可以采用DoE方法进行测试和分析,而无需真实流片,从而大大节省了制造相关的时间和费用。

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

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