QUANTUM MECHANICAL EFFECTS ON MOSFET SCALING LIMIT
Challenges and Opportunies for Nanoscale CMOS
(Sprache: Englisch)
As CMOS technology continuous to be aggressively
scaled, it approaches a point where classical physics
is insufficient to explain the behavior of a MOSFET.
At this classical physics limit, a quantum mechanical
model becomes necessary to provide...
scaled, it approaches a point where classical physics
is insufficient to explain the behavior of a MOSFET.
At this classical physics limit, a quantum mechanical
model becomes necessary to provide...
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As CMOS technology continuous to be aggressivelyscaled, it approaches a point where classical physics
is insufficient to explain the behavior of a MOSFET.
At this classical physics limit, a quantum mechanical
model becomes necessary to provide thorough
assessment of the device performance and scaling.
This book describes advanced modeling of nanoscale
bulk MOSFETs incorporating critical quantum
mechanical effects such as gate direct tunneling and
energy quantization of carriers.
The models derived here are used to project MOSFET
scaling limits. These limits of bulk MOSFETs are
predicted according to various criteria, including
circuit power and delay, device leakage current and
the system uniformity requirement. Tunneling and
quantization effects cause large power dissipation,
low drive current, and strong sensitivities to
process variation, which greatly limit CMOS scaling.
Developing new materials and structures is imminent
to extend the scaling process.
Autoren-Porträt von Lihui Wang
Lihui Wang is a professor of virtual manufacturing at the University of Skövde s Virtual Systems Research Centre in Sweden. He was previously a senior research scientist at the Integrated Manufacturing Technologies Institute, National Research Council of Canada. He is also an adjunct professor in the Department of Mechanical and Materials Engineering at the University of Western Ontario, and a registered professional engineer in Canada.His research interests and responsibilities are in web-based and sensor-driven real-time monitoring and control, distributed machining process planning, adaptive assembly planning, collaborative design, supply chain management, as well as intelligent and adaptive manufacturing systems.
Bibliographische Angaben
- Autor: Lihui Wang
- 2009, 196 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: VDM Verlag Dr. Müller
- ISBN-10: 3836461838
- ISBN-13: 9783836461832
Sprache:
Englisch
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