Overview
- State of the art of nanoscale simulations
- Presents the main project results in the fields of PDAE modeling and simulation, model order reduction techniques and optimization
- Merges the know-how of major European semiconductor companies with the combined expertise of university groups
- Includes supplementary material: sn.pub/extras
Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 21)
Part of the book sub series: The European Consortium for Mathematics in Industry (TECMI)
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Table of contents (9 chapters)
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Front Matter
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Introduction
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Front Matter
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Partial Differential Algebraic Equations
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Front Matter
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Model Order Reduction
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Front Matter
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Optimization
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Front Matter
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COMSON Methodology
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Front Matter
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Back Matter
Keywords
About this book
Designing complex integrated circuits relies heavily on mathematical methods and calls for suitable simulation and optimization tools. The current design approach involves simulations and optimizations in different physical domains (device, circuit, thermal, electromagnetic) and in a range of electrical engineering disciplines (logic, timing, power, crosstalk, signal integrity, system functionality). COMSON was a Marie Curie Research Training Network created to meet these new scientific and training challenges by (a) developing new descriptive models that take these mutual dependencies into account, (b) combining these models with existing circuit descriptions in new simulation strategies and (c) developing new optimization techniques that will accommodate new designs.
The book presents the main project results in the fields of PDAE modeling and simulation, model order reduction techniques and optimization, based on merging the know-how of three major European semiconductor companies with the combined expertise of university groups specialized in developing suitable mathematical models, numerical schemes and e-learning facilities. In addition, a common Demonstrator Platform for testing mathematical methods and approaches was created to assess whether they are capable of addressing the industry’s problems, and to educate young researchers by providing hands-on experience with state-of-the-art problems.
Editors and Affiliations
Bibliographic Information
Book Title: Coupled Multiscale Simulation and Optimization in Nanoelectronics
Editors: Michael Günther
Series Title: Mathematics in Industry
DOI: https://doi.org/10.1007/978-3-662-46672-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-46671-1Published: 26 June 2015
Softcover ISBN: 978-3-662-51970-7Published: 18 October 2016
eBook ISBN: 978-3-662-46672-8Published: 15 June 2015
Series ISSN: 1612-3956
Series E-ISSN: 2198-3283
Edition Number: 1
Number of Pages: XVII, 565
Number of Illustrations: 121 b/w illustrations, 80 illustrations in colour
Topics: Computational Science and Engineering, Nanotechnology and Microengineering, Mathematical and Computational Engineering, Nanoscale Science and Technology
Industry Sectors: Energy, Utilities & Environment