NEMO 1-D: The First NEGF-based TCAD Tool and Network for Computational Nanotechnology
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Abstract
Nanotechnology has received a lot of public attention since U.S. President Clinton announced the U.S.
National Nanotechnology Initiative. New approaches to applications in electronics, materials,
medicine, biology and a variety of other areas will be developed in this new multi-disciplinary field.
Notably, nanotechnology has already arrived in practical devices in the world of semiconductor
electronics. Wave-like properties of electrons modify the functional device behavior once spatial
variations in structures reach length scales of a few tens of nanometers. The modeling and simulation
of such devices now deviates strongly from classical approaches: it must be fundamentally quantum
mechanical. While standard technologies require extensive simulation tools for design, analysis and
characterization, few such tools exist for nanoelectronic devices. This seminar will review the
development of a comprehensive nanoelectronic modeling tool (NEMO), its algorithm and theory
development, its utilization of low cost clusters for high performance computing, and its application to
high-speed electronics. Device synthesis from performance specifications and device characterization
via genetic algorithms will be demonstrated. This work has been performed with a large number of
people in the NEMO development process. Key contributors were: Roger Lake, R. Chris Bowen, Bill
Frensley, Tim Boykin, and Dan Blanks.
Bio
University and a Professor of ECE since Dec. 2003. He was the Supervisor for the Applied Cluster Computing
Technologies Group and Principal Member at the NASA Jet Propulsion Laboratory. His research interest is in
the modeling of nanoelectronic devices, parallel cluster computing, genetic algorithms, and parallel image
processing. Gerhard has been one of the key developers of Nanoelectronic Modeling tool (NEMO). Previously
he was a member of technical staff at the Central Research Lab of Texas Instruments. Dr. Klimeck received his
Ph.D. in 1994 from Purdue University and his German electrical engineering degree in 1990 from Ruhr-University Bochum. Dr. Klimeck's work is documented in over 110 peer-reviewed publications and over 160
conference presentations. He is a senior member of IEEE and member of APS, HKN and TBP.
Credits
Sponsored by
NCN@Purdue Student Leadership Team
Network for Computational Nanotechnology
The Institute for Nanoelectronics and Computing
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EE 170, Purdue University, West Lafayette, IN