Free Delivery Over $100
|
|
|||
|
||||
OverviewThis 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. Full Product DetailsAuthor: Peter BennerPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2017 Volume: 20 Weight: 4.439kg ISBN: 9783319072357ISBN 10: 3319072358 Pages: 197 Publication Date: 12 June 2017 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsPreface.- 1 Model order reduction of integrated circuits in electrical networks: Michael Hinze, Martin Kunkel, Ulrich Matthes, and Morten Vierling.- 2 Element-based model reduction in circuit simulation: Andreas Steinbrecher and Tatjana Stykel.- 3 Reduced Representation of Power Grid Models: Peter Benner and André Schneider.- 4 Coupling of numeric/symbolic reduction methods for generating parametrized models of nanoelectronic systems: Oliver Schmidt, Matthias Hauser, and Patrick Lang.- 5 Low-Rank Cholesky Factor Krylov Subspace Methods for Generalized Projected Lyapunov Equations: Matthias Bollhöfer and André K. Eppler.- Index.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
