Engineering at the nanometer scale: Is it a new material or a new device?
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Abstract
School of Materials Engineering Seminar
At the nanometer scale the concepts of device and material meet and a new device is really a new material and vice versa. While atomistic device representation is novel to device physicists who typically deal in effective mass models, the concept of finite devices that are not infinitely periodic is novel in the semiconductor materials modeling community. NEMO 3-D bridges the gap and enables electronic structure simulations of quantum dots, quantum wells, nanowires, and impurities. Electronic structure simulations of systems 52 million atoms have been demonstrated.
To truly have impact on the research, experimental and educational efforts of the community, relevant tools must be put into the hands of experimentalists and educators. NEMO 3-D can engage both educators and advanced researchers, utilizing a single open source code. An educational version has been released on nanoHUB.org. Over 646 users ran over 4,800 simulations in the quantum dot lab in the past 12 months.
nanoHUB.org is operated by the Network for Computational Nanotechnology (NCN). 26,100 users gained information on the nanoHUB in the 12 months leading to Sept. 2007. Over 5,900 users have launched over 226,000 simulations.
This seminar will overview NEMO 3D simulation capabilities and its deployment on the nanoHUB as well as an overview of the nanoHUB impact on the community.
At the nanometer scale the concepts of device and material meet and a new device is really a new material and vice versa. While atomistic device representation is novel to device physicists who typically deal in effective mass models, the concept of finite devices that are not infinitely periodic is novel in the semiconductor materials modeling community. NEMO 3-D bridges the gap and enables electronic structure simulations of quantum dots, quantum wells, nanowires, and impurities. Electronic structure simulations of systems 52 million atoms have been demonstrated.
To truly have impact on the research, experimental and educational efforts of the community, relevant tools must be put into the hands of experimentalists and educators. NEMO 3-D can engage both educators and advanced researchers, utilizing a single open source code. An educational version has been released on nanoHUB.org. Over 646 users ran over 4,800 simulations in the quantum dot lab in the past 12 months.
nanoHUB.org is operated by the Network for Computational Nanotechnology (NCN). 26,100 users gained information on the nanoHUB in the 12 months leading to Sept. 2007. Over 5,900 users have launched over 226,000 simulations.
This seminar will overview NEMO 3D simulation capabilities and its deployment on the nanoHUB as well as an overview of the nanoHUB impact on the community.
Bio
Gerhard Klimeck is the Technical Director of the Network for Computational Nanotechnology at Purdue University and a Professor of Electrical and Computer Engineering since Dec. 2003. He was the Technical Group Supervisor of the High Performance Computing Group and continues to hold his Principal member position at the NASA Jet Propulsion Laboratory on a part time faculty basis. His research interest is in the modeling of nanoelectronic devices, parallel cluster computing, and genetic algorithms. Gerhard led the development of the Nanoelectronic Modeling tool (NEMO 3-D) for multimillion atom simulations which has demonstrated parallel scaling to 8,192 CPUs. Previously he was a member of technical staff at the Central Research Lab of Texas Instruments where he served as manager and principal architect of the Nanoelectronic Modeling (NEMO 1-D) program, which has demonstrated to scale to 23,000 CPUs. Dr. Klimeck received his Ph.D. in 1994 from Purdue University and his German electrical engineering degree (summa cum laude) in 1990 from Ruhr-University Bochum. Dr. Klimeck's work is documented in over 170 peer-reviewed publications and over 290 conference presentations. He is a senior member of IEEE and member of APS, HKN and TBP. Cite this work
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MSEE B011, Purdue University, West Lafayette, IN