Overview
- Describes computational techniques for model reduction in nanoelectronics
- Offers special model reduction methods for device simulation and for terminal reduction
- Illustrates the performance of proposed methods, using real-world data
Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 20)
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Table of contents (5 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book describes the computational challenges posed by the progression toward nanoscale electronic devices and increasingly short design cycles in the microelectronics industry, and proposes methods of model reduction which facilitate circuit and device simulation for specific tasks in the design cycle.
The goal is to develop and compare methods for system reduction in the design of high dimensional nanoelectronic ICs, and to test these methods in the practice of semiconductor development. Six chapters describe the challenges for numerical simulation of nanoelectronic circuits and suggest model reduction methods for constituting equations. These include linear and nonlinear differential equations tailored to circuit equations and drift diffusion equations for semiconductor devices. The performance of these methods is illustrated with numerical experiments using real-world data. Readers will benefit from an up-to-date overview of the latest model reduction methods in computational nanoelectronics.
Editors and Affiliations
Bibliographic Information
Book Title: System Reduction for Nanoscale IC Design
Editors: Peter Benner
Series Title: Mathematics in Industry
DOI: https://doi.org/10.1007/978-3-319-07236-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2017
Hardcover ISBN: 978-3-319-07235-7Published: 12 June 2017
Softcover ISBN: 978-3-319-79154-8Published: 12 May 2018
eBook ISBN: 978-3-319-07236-4Published: 02 June 2017
Series ISSN: 1612-3956
Series E-ISSN: 2198-3283
Edition Number: 1
Number of Pages: XI, 197
Number of Illustrations: 34 b/w illustrations, 39 illustrations in colour
Topics: Computational Science and Engineering, Mathematical Modeling and Industrial Mathematics, Electronics and Microelectronics, Instrumentation, Computer-Aided Engineering (CAD, CAE) and Design, Algorithms, Mathematical and Computational Engineering