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Semiconductor Modeling

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Cover of 'Semiconductor Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 How the Workplace Supports Successful Design
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    Chapter 2 Introduction to Modeling Concepts
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    Chapter 3 Model Properties Derived from Device Physics Theory
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    Chapter 4 Measuring Model Properties in the Laboratory
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    Chapter 5 Using Statistical Data to Characterize Component Populations
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    Chapter 6 Using Selection Guides to Compare and Contrast Components
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    Chapter 7 Using Data Sheets to Compare and Contrast Components
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    Chapter 8 Selecting the Best Model for a Simulation
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    Chapter 9 Modeling and Simulation in the Design Process Flow
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    Chapter 10 Key Concepts of the IBIS Specification
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    Chapter 11 Using IBIS Models in What-If Simulations
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    Chapter 12 Fixing Errors and Omissions in IBIS Models
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    Chapter 13 Using EDA Tools to Create and Validate IBIS Models from Spice
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    Chapter 14 Sources of IBIS Models
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    Chapter 15 Working with the Model Library
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    Chapter 16 Methodology for Verifying Models
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    Chapter 17 Verifying Model Accuracy by Using Laboratory Measurements
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    Chapter 18 Balancing Accuracy Against Practicality When Correlating Simulation Results
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    Chapter 19 Deriving an Equation-Based Model from a Macromodel
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    Chapter 20 The Challenge to Ibis
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    Chapter 21 Feedback to the Model Provider Improves Model Accuracy
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    Chapter 22 Future Trends in Modeling
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    Chapter 23 Using Probability: The Ultimate Future of Simulation
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Title
Semiconductor Modeling
Published by
Springer US, January 2007
DOI 10.1007/b104647
ISBNs
978-0-387-24159-3, 978-0-387-24160-9
Authors

Leventhal, Roy G., Green, Lynne

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Master 5 23%
Researcher 3 14%
Other 2 9%
Student > Doctoral Student 2 9%
Other 2 9%
Unknown 2 9%
Readers by discipline Count As %
Engineering 13 59%
Physics and Astronomy 4 18%
Materials Science 1 5%
Computer Science 1 5%
Unknown 3 14%