Semiconductor Modeling: For Simulating Signal, Power, and Electromagnetic Integrity

Semiconductor Modeling: For Simulating Signal, Power, and Electromagnetic Integrity / by Roy Leventhal, Lynne Green.

Semiconductor Modeling: For Simulating Signal, Power, and Electromagnetic Integrity gives designers and engineers a broad view of using semiconductor models to design high-speed circuit boards. Most issues in the field of designing high-frequency circuits, from the beginning of modeling and simulati...

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Bibliographic Details
Main Authors: Leventhal, Roy (Author), Green, Lynne (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2006.
Edition:1st ed. 2006.
Series:Springer eBook Collection.
Subjects:
Electronic circuits.
Computer-aided engineering.
Microwaves.
Optical engineering.
Electronics.
Microelectronics.
Applied mathematics.
Engineering mathematics.
Electrical engineering.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • How the Workplace Supports Successful Design
  • to Modeling Concepts
  • Generating Models
  • Model Properties Derived from Device Physics Theory
  • Measuring Model Properties in the Laboratory
  • Using Statistical Data to Characterize Component Populations
  • Selecting Components and Their Models
  • Using Selection Guides to Compare and Contrast Components
  • Using Data Sheets to Compare and Contrast Components
  • Selecting the Best Model for a Simulation
  • Modeling and Simulation in the Design Process Flow
  • About the IBIS Model
  • Key Concepts of the IBIS Specification
  • Using IBIS Models in What-If Simulations
  • Fixing Errors and Omissions in IBIS Models
  • Using EDA Tools to Create and Validate IBIS Models from Spice
  • Managing Models
  • Sources of IBIS Models
  • Working with the Model Library
  • Model Accuracy and Verification
  • Methodology for Verifying Models
  • Verifying Model Accuracy by Using Laboratory Measurements
  • Balancing Accuracy Against Practicality When Correlating Simulation Results
  • Deriving an Equation-Based Model from a Macromodel
  • Future Directions in Modeling
  • The Challenge to Ibis
  • Feedback to the Model Provider Improves Model Accuracy
  • Future Trends in Modeling
  • Using Probability: The Ultimate Future of Simulation.

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