Predictive Technology Model for Robust Nanoelectronic Design

Nonfiction, Science & Nature, Technology, Electronics, Circuits
Cover of the book Predictive Technology Model for Robust Nanoelectronic Design by Yu Cao, Springer US
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Author: Yu Cao ISBN: 9781461404453
Publisher: Springer US Publication: July 12, 2011
Imprint: Springer Language: English
Author: Yu Cao
ISBN: 9781461404453
Publisher: Springer US
Publication: July 12, 2011
Imprint: Springer
Language: English

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. 

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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. 

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