Overview
- Combines advanced methods for solving strongly coupled problems involving multirate dynamics in time and frequency domain with applications to Uncertainty Quantification and Fast Fault Simulation
- Unique ingredient is provided by parametric Model Order Reduction for coupled problems that is exploited during the time integration
- Includes a thorough description of industrial test examples
Part of the book series: Mathematics in Industry (MATHINDUSTRY, volume 29)
Part of the book sub series: The European Consortium for Mathematics in Industry (TECMI)
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Table of contents (23 chapters)
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Front Matter
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Equations, Discretizations
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Front Matter
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Time Integration for Coupled Problems
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Front Matter
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Uncertainty Quantification
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Front Matter
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Keywords
About this book
Designs in nanoelectronics often lead to challenging simulation problems and include strong feedback couplings. Industry demands provisions for variability in order to guarantee quality and yield. It also requires the incorporation of higher abstraction levels to allow for system simulation in order to shorten the design cycles, while at the same time preserving accuracy. The methods developed here promote a methodology for circuit-and-system-level modelling and simulation based on best practice rules, which are used to deal with coupled electromagnetic field-circuit-heat problems, as well as coupled electro-thermal-stress problems that emerge in nanoelectronic designs. This book covers:
(1) advanced monolithic/multirate/co-simulation techniques, which are combined with envelope/wavelet approaches to create efficient and robust simulation techniques for strongly coupled systems that exploit the different dynamics of sub-systems within multiphysics problems, and which allow designers to predict reliability and ageing;
(2) new generalized techniques in Uncertainty Quantification (UQ) for coupled problems to include a variability capability such that robust design and optimization, worst case analysis, and yield estimation with tiny failure probabilities are possible (including large deviations like 6-sigma);
(3) enhanced sparse, parametric Model Order Reduction techniques with a posteriori error estimation for coupled problems and for UQ to reduce the complexity of the sub-systems while ensuring that the operational and coupling parameters can still be varied and that the reduced models offer higher abstraction levels that can be efficiently simulated.
All the new algorithms produced were implemented, transferred and tested by the EDA vendor MAGWEL. Validation was conducted on industrial designs provided by end-users from the semiconductor industry, who shared their feedback, contributed to the measurements, and supplied both material data and process data. In closing, a thorough comparison to measurements on real devices was made in order to demonstrate the algorithms’ industrial applicability.
Editors and Affiliations
About the editors
Hans-Georg Brachtendorf graduated in Electrical Engineering from RWTH Aachen, Germany, in 1989 and obtained the Ph.D. degree from the University of Bremen (Germany) at the Institute for Electromagnetic Theory and Microelectronics in 1994, also in Electrical Engineering, respectively. The Ph.D. thesis deals with the steady state analysis of RF circuits, partly funded by Philips Semiconductors Hamburg.
From 1994-2001 he was an Assistant Professor (C1) also at the University of Bremen and obtained the Venia Legendi (Habilitation) from the same universityin 2001. In 1997-1998 he was affiliated with the Wireless Laboratory of Bell Laboratories/Lucent Technologies in Murray Hill/New Jersey, where he performed research in circuit simulation and design. In 2001 he joined the Fraunhofer Institute for Integrated Circuits in Erlangen, Germany.
His focus there was on system design and simulation for satellite broadcasting systems (WorldSpace, XM radio) and transceiver designs.
Since 2005 Dr. Brachtendorf is full professor at the University of Applied Science of Upper Austria for System Design and Simulation, Communications and Signal Processing. He is author and co-author of 1 book and numerous technical papers dealing mainly with circuit simulation, device modelling and numerics of ordinary and partial differential algebraic equations.
He holds four patents in various fields of circuit analysis and design, including a patent for a novel image reject filter, a subsampling receiver architecture and on multi-ratesimulation techniques.
His research interests include circuit design, modelling and simulation as well as signal processing and digital communication. Prof. Brachtendorf was Work Package Leader on time domain simulation methods in the FP7-ICT project nanoCOPS and in the ENIAC JU project ARTEMOS.
Roland Pulch received his Diploma Degree in Mathematics and Physics at Darmstadt University of Technology (Germany) in 2000 and his PhD in Mathematics at Munich University of Technology (Germany) in 2003. He worked as a postdoctoral researcher at University of Wuppertal (Germany). In 2008, he became Assistant Professor in the field of numerical analysis and simulation of coupled problems at University of Wuppertal. Since 2013 up to date, Roland Pulch has the University Professorship on Applied Mathematics at the University of Greifswald (Germany). He was a work package leader in the EU-FP6-RTN project CoMSON as well as a local re
Wim Schoenmaker received his B.Sc. and M.Sc. degree in Physics from the Free University of Amsterdam in 1975 and 1979 in theoretical physics, and his Ph.D. degree in theoretical high-energy physics from the University of Groningen in 1983. From 1983 until 1987 he held post-doctoral positions in particle physics at the University of Kaiserslautern (Germany) and the University of Leuven (Belgium), where his research interests concerned lattice gauge theories and statistical physics and computing. In this research, the exploration and exploitation of large-scale computer resources has been a major theme. From 1987 until 2003 he was at the Interuniversity Microelectronic Center (IMEC) at Leuven, where he has been working on the development of numerica
Herbert De Gersem is born in 1971 and obtained the MSc and PhD degrees in electrical engineering at the KU Leuven (Belgium) in 1994 and 2001, respectively. From 2001 to 2006, he worked as a postdoc at TU Darmstadt (Germany). From 2006 to 2014, he worked as associate professor at the KU Leuven. Since 2014, he is appointed as full professor at the Institut für Theorie Elektromagnetischer Felder of the Technische Universität Darmstadt. He authored and co-authored more than 100 publications in international journals. His major research topics are electromagnetic field simulation with volumetric discretisat
Bibliographic Information
Book Title: Nanoelectronic Coupled Problems Solutions
Editors: E. Jan W. ter Maten, Hans-Georg Brachtendorf, Roland Pulch, Wim Schoenmaker, Herbert De Gersem
Series Title: Mathematics in Industry
DOI: https://doi.org/10.1007/978-3-030-30726-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-30725-7Published: 20 November 2019
Softcover ISBN: 978-3-030-30728-8Published: 20 November 2020
eBook ISBN: 978-3-030-30726-4Published: 06 November 2019
Series ISSN: 1612-3956
Series E-ISSN: 2198-3283
Edition Number: 1
Number of Pages: XXX, 587
Number of Illustrations: 100 b/w illustrations, 200 illustrations in colour
Topics: Mathematical Modeling and Industrial Mathematics, Continuous Optimization