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Titlebook: System Reduction for Nanoscale IC Design; Peter Benner Book 2017 Springer International Publishing AG, part of Springer Nature 2017 circui

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发表于 2025-3-21 16:14:03 | 显示全部楼层 |阅读模式
书目名称System Reduction for Nanoscale IC Design
编辑Peter Benner
视频video
概述Describes computational techniques for model reduction in nanoelectronics.Offers special model reduction methods for device simulation and for terminal reduction.Illustrates the performance of propose
丛书名称Mathematics in Industry
图书封面Titlebook: System Reduction for Nanoscale IC Design;  Peter Benner Book 2017 Springer International Publishing AG, part of Springer Nature 2017 circui
描述.This 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..
出版日期Book 2017
关键词circuit simulation; computational nanoelectronics; device simulation; ​model order reduction; nanoelectr
版次1
doihttps://doi.org/10.1007/978-3-319-07236-4
isbn_softcover978-3-319-79154-8
isbn_ebook978-3-319-07236-4Series ISSN 1612-3956 Series E-ISSN 2198-3283
issn_series 1612-3956
copyrightSpringer International Publishing AG, part of Springer Nature 2017
The information of publication is updating

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Michael Hinze,Martin Kunkel,Ulrich Matthes,Morten Vierling series of interviews conducted to 15 Portuguese software startups installed in a technological cluster located in the northeast of Portugal. Based on the results obtained, it was appropriate to add a new dimension to the ELDM model (learning) and complementing it with the perspectives of the busine
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Model Order Reduction of Integrated Circuits in Electrical Networks,onal complexity. We provide numerical comparisons which demonstrate the performance of the presented model reduction approach. We compare reduced and fine models and give numerical results for a basic network with one diode. Furthermore we discuss residual based sampling to construct POD models whic
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Book 2017diffusion 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..
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