Nanoelectronic Coupled Problems Solutions

E. Jan W. ter Maten received his PhD in 1984 at Utrecht University, the Netherlands. Between 1983 and 2010 he worked at Philips and at NXP Semiconductors (Eindhoven, the Netherlands) on simulation techniques for coupled problems, including circuit simulation and model order reduction. In 2011 he joined the Univ. of Wuppertal as researcher. He is member of the Program Committee of the SCEE conferences (Scientific Computing in Electric Engineering) and since 2010 Secretary/Treasurer of ECMI (European Consortium for Mathematics in Industry). He was coordinator of the FP7-ICT collaborative project nanoCOPS (Nanoelectronic Coupled Problem Solutions) from which this book results. In the past he was Work Package Leader on model order reduction in the EU-RTN project CoMSON (first at Philips, later at NXP). He was Project Manager of the EU-ToK project O-MOORE-NICE! (NXP; also focusing on model order reduction) and of the FP7-ICT collaborative project ICESTARS (NXP: Integrated Circuit/EMSimulation and design Technologies for Advanced Radio Systems on chip). Between 2011 and 2014 he also worked for TU Eindhoven in the ENIAC JU project ARTEMOS (Agile RF Transceivers and Front-Ends for Future Smart Multi-Standard COmmunications ApplicationS) on uncertainty quantification and estimation of tail probabilities. He is co-editor of four proceedings of conferences and workshops and of one contributed volume.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 presentative of the Universityof Wuppertal within the EU-FP7-ICT collaborative project ICESTARS. Prof Pul

Equations, discretizations.- Time integration for coupled problems.- Uncertainty quantification.- Model order reduction.- Robustness, reliability, ageing.- Testcases and measurements.