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

• Main Authors: Leventhal, Roy G. (Author), Green, Lynne (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2006.
• Subjects: Engineering.; Computer-aided engineering.; Applied mathematics.; Engineering mathematics.; Electrical engineering.; Microwaves.; Optical engineering.; Electronics.; Microelectronics.; Electronic circuits.; Circuits and Systems.; Computer-Aided Engineering (CAD, CAE) and Design.; Microwaves, RF and Optical Engineering.; Electronics and Microelectronics, Instrumentation.; Appl.Mathematics/Computational Methods of Engineering.; Electrical Engineering.

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...

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.