Nanoscale Transistors - Guo, Jing

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Résumé :
Silicon CMOS technology continues to drive progress in electronics, but device scaling is rapidly taking the metal oxide semiconductor field-effect transistor (MOSFET) to its limit. A variety of new devices are emerging as candidates to replace MOSFETs and continue the trend downward to molecular dimensions. Nanoscale MOSFET engineering, is still governed by techniques originally developed to treat microscale devices. To push MOSFETs to their limits and to explore devices that may complement or even supplant them, this timely reference presents a clear understanding of device physics at the nano/molecular scale....

Biographie:

Mark S. Lundstrom is the Scifres Distinguished Professor of Electrical and Computer Engineering at Purdue University where he also directs the NSF Network for Computational Nanotechnology. His current research interests center on the physics of semiconductor devices, especially nanoscale transistors. His previous work includes studies of heterostructure devices, solar cells, heterojunction bipolar transistors and semiconductor lasers. During the course of his Purdue career, Lundstrom has served as director of the Optoelectronics Research Center and assistant dean of the Schools of Engineering. He is a fellow of both the Institute of Electrical and Electronic Engineers (IEEE) and the American Physical Society and the recipient of several awards for teaching and research - most recently the 2002 IEEE Cledo Brunetti Award and the 2002 Semiconductor Research Corporation Technical Achievement Award for his work with his colleague, S. Datta, on nanoscale electronics.

Jing Guo is an assistant professor of Electrical and Computer Engineering at University of Florida, Gainesville. His has worked on the theory, modeling and simulation of a variety of nanotransistors, including silicon nanotransistors, carbon nanotube transistors, and single electron transistors, in close collaboration with experimentalists. His current research interests focus on modeling and simulation of nanoscale devices, carbon nanotube electronics and optoelectronics, quantum transport, physics of nanoscale transistors, and parallel computation.