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。
日志 Gigi Boss
Silvaco Reports First Quarter 2024 Financial Results
June 20, 2024
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 threshold voltage or other minor adjustments, but in other cases it can mean tweaking such things as high energy deep well implants.
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 as steep temperature ramps, short annealings or shallow implantations.
Silvaco Announces Launch of Initial Public Offering
April 30, 2024
Setting up the Wafer Orientation: Applications to Ion Implantation
Properly setting the wafer orientation in Victory Process (VP) is critical for various processes such as ion implantation, etching, and deposition. For ion implantation in particular, the determination of the wafer orientation becomes crucial, given its profound impact on profile variations in channeling and non-channeling directions.
Optoelectronic Component Design for Photonic Integrated Circuits
Photonic integrated circuits (PICs) are a key enabling technology for a broad range of current and next-generation products. Combining semiconductor materials and manufacturing processes common to microelectronics with the encoding, transmission and detection of light, PICs are transforming communication in datacenters by bringing bandwidth closer to compute cores, and are accelerating emerging applications like LiDAR for autonomy and quantum computing for the future of information processing.