Coupled Multiscale Simulation and Optimization in Nanoelectronics

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 electr...

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Bibliographic Details
Other Authors: Günther, Michael (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2015, 2015
Edition:1st ed. 2015
Series:The European Consortium for Mathematics in Industry
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Coupled Multiscale Simulation and Optimization in Nanoelectronics  |h Elektronische Ressource  |c edited by Michael Günther 
250 |a 1st ed. 2015 
260 |a Berlin, Heidelberg  |b Springer Berlin Heidelberg  |c 2015, 2015 
300 |a XVII, 565 p. 201 illus., 80 illus. in color  |b online resource 
505 0 |a Part I Introduction: 1 The COMSON Project: Michael Günther and Uwe Feldmann -- Part II Partial Differential Algebraic Equations: 2 PDAE Modeling and Discretization: Giuseppe Alì, Massimiliano Culpo, Roland Pulch, Vittorio Romano and Sebastian Schöps -- 3 Simulation of Coupled PDAEs - Dynamic Iteration and Multirate Simulation: Giuseppe Alì, Andreas Bartel, Michael Günther, Vittorio Romano and Sebastian Schöps -- Part III Model Order Reduction: 4 Model Order Reduction - Methods, Concepts and Properties: Athanasios C. Antoulas, Roxana Ionutiu, Nelson Martins, E. Jan W. ter Maten, Kasra Mohaghegh, Roland Pulch, Joost Rommes, Maryam Saadvandi and Michael Striebel -- 5 Parameterized Model Order Reduction: Gabriela Ciuprina, Jorge Fernández Villena, Daniel Ioan, Zoran Ilievski, Sebastian Kula, E. Jan W. ter Maten, Kasra Mohaghegh, Roland Pulch, Wil H.A. Schilders, L. Miguel Silveira, Alexandra ¸ Stefánescu and Michael Striebel -- 6 Advanced topics in Model Order Reduction: Davit Harutyunyan, Roxana Ionutiu, E. Jan W. ter Maten, Joost Rommes, Wil H.A. Schilders and Michael Striebel -- Part IV Optimization: 7 Optimization Methods and Applications to microelectronics CAD: Salvatore Rinaudo, Valeria Cinnera Martino, Franco Fiorante, Giovanni Stracquadanio and Giuseppe Nicosia -- Part V COMSON Methodology: 8 COMSON Demonstrator Platform: Georg Denk, Tamara Bechtold, Massimiliano Culpo, Carlo de Falco and Alexander Rusakov -- 9 eLearning in Industrial Mathematics with applications to Nano electronics: Giuseppe Alì, Eleonora Bilotta, Lorella Gabriele, Pietro Pantano, José Sepúlveda, Rocco Servidio, and Alexander Vasenev -- Index 
653 |a Nanophysics 
653 |a Engineering mathematics 
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653 |a Computational Science and Engineering 
653 |a Nanoscience 
653 |a Engineering / Data processing 
653 |a Microtechnology 
653 |a Microsystems and MEMS. 
653 |a Mathematical and Computational Engineering Applications 
653 |a Microelectromechanical systems 
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520 |a 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.