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Utmost IV Quick-Start Model Optimization Templates

配信開始日:

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. UTMOST IV provides many such templates for various popular MOSFET, BJT, TFT, HEMT, IGBT, and Diode models. This webinar will include a general presentation of the functionality, followed by a review of the currently available templates. Usage flow examples will be illustrated in detail for some of the most commonly used SPICE device models. The main goal is for the users to become familiar with UTMOST IV and start getting model results quickly.

内容:

  • SPICE Model Quick-Start Optimization feature
  • Currently available model optimization templates for various device types
  • The usage steps of the Quick-Start Templates flow
  • Applying the functionality to creating optimization projects and extracting SPICE model parameters of various models, such as:
    • BSIM4 MOSFET
    • HiSIM2 MOSFET
    • PSP MOSFET
    • RPI TFT
    • VBIC BJT

プレゼンタ:

Dr. Bogdan Tudor is head of Silvaco’s Device Characterization Group. He is responsible for all aspects of the Device Characterization Group’s activities, including R&D, field operations, and modeling services. He joined Silvaco in 2017. Prior to joining Silvaco, Dr. Tudor was a Principal Software Architect at ProPlus Design Solutions for four years, and before that he was a Senior R&D Engineer with Synopsys for 12 years. Dr. Tudor has an extensive expertise in Device characterization, Compact Model development, MOSFET Aging Reliability Analysis, and Software development.

Dr. Tudor holds a M.Sc. in Electrical Engineering and a Ph.D. in Microelectronics from the Polytechnic University in Bucharest, Romania..


対象:

Academics, engineers, and management who are interested in the general methodology of SPICE model extraction and optimization. No prior SPICE modeling experience is required.