Predictive Technology Model for Robust Nanoelectronic Design

Predictive Technology Model for Robust Nanoelectronic Design by Yu Cao.

Predictive Technology Model for Robust Nanoelectronic Design explains many of the technical mysteries behind the Predictive Technology Model (PTM) that has been adopted worldwide in explorative design research. Through physical derivation and technology extrapolation, PTM is the de-factor device mod...

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Bibliographic Details
Main Author: Cao, Yu (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:Integrated Circuits and Systems,
Springer eBook Collection.
Subjects:
Electronic circuits.
Electronics.
Microelectronics.
Nanotechnology.
Computer software—Reusability.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:Predictive Technology Model for Robust Nanoelectronic Design explains many of the technical mysteries behind the Predictive Technology Model (PTM) that has been adopted worldwide in explorative design research. Through physical derivation and technology extrapolation, PTM is the de-factor device model used in electronic design. This work explains the systematic model development and provides a guide to robust design practice in the presence of variability and reliability issues. Having interacted with multiple leading semiconductor companies and university research teams, the author brings a state-of-the-art perspective on technology scaling to this work and shares insights gained in the practices of device modeling.
Physical Description:XV, 173 p. online resource.
ISBN:9781461404453
ISSN:1558-9412
DOI:10.1007/978-1-4614-0445-3

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