How to Quickly Achieve Accurate SPICE Models with Utmost IV
March 16, 2021 | 10:00 am – 10:20 am (PST)
This webinar will review the various Silvaco SPICE modeling solutions. This includes a brief overview of our tools, Utmost IV and TechModeler, and of the modeling services that we provide to our customers. We discuss a few of our recent modeling examples for various technologies, including display-related, RF SPICE modeling, and advanced processes.
Model Extraction Flow with Utmost IV for Vertically Stacked Nanosheets Using the Leti-NSP Model
July 30, 2020 | 10:00 am – 10:30 am (PDT)
This webinar will provide a discussion of common methods used to secure an AMBA-based hardware and software system design.
Using SmartSpice Compact Models
June 11, 2020 | 10:00 am – 10:30 am (PDT)
This webinar will provide a guide to developing Compact Models in SmartSpice to achieve optimal simulation performance. You will learn how models are used in SmartSpice and best practices when constructing a custom Verilog-A model.
Machine Learning in the EDA-Specific Domain – 20 Years in the Making
June 25, 2020 | 10:00 am – 10:30 am (PDT)
This webinar will review these new approaches and how they are applied to different applications. Example ML-based EDA tools form Silvaco will be presented to illustrate what have been achieved.
TFT and OLED SPICE Modeling Using Utmost IV
May 14th 2020 | 10:00 am – 10:30 am (PDT)
In this webinar you will learn about SPICE modeling approaches and methods related to flat panel display applications using Silvaco’s Utmost IV modeling software. Topics covered include modeling of TFT devices, with emphasis on issues such as the frequency dispersion effect, and modeling of OLED devices, including the use of Verilog-A models and macromodels.
Utmost IV Quick-Start Model Optimization Templates
March 12th 2020 | 10:00 am - 11:00 am (PDT)
This webinar will present a new capability available in UTMOST IV: the Quick-Start Optimization Templates. This is a feature that allows users to quickly create an optimization project for a specific model, based on their data. It significantly increases the user’s productivity, at the same time requiring little or no prior SPICE modeling experience.