NCN Nanoelectronics: Simulation Tools for Education
nanoFET Lab
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Usage Stats Last 12 Months: Updated 22 May, 2008 more › Users: 324 Jobs: 14912 Avg. exec. time: 2 hours Reviews & Citations Google/IEEE: updated 30 Nov, 2007 Avg. Review: Citations: 1
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| Contributor(s) | M. P. Anantram NASA Shaikh S. Ahmed Purdue University, West Lafayette Alexei Svizhenko Stanford University Derrick Kearney, Gerhard Klimeck Purdue University, West Lafayette |
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| At a glance | Simulates quantum ballistic transport properties in two-dimensional MOSFET devices |
| Screenshots | |
| Description | NanoFET is a newly developed tool that simulates quantum mechanical size quantization in the inversion layer and phase coherent and ballistic transport properties in two-dimensional MOSFET devices. The overall simulation framework consists of the real-space effective mass non-equilibrium Green’s function equations solved self-consistently with Poisson’s equation. Solution of this set of equations is computationally intensive. Hence, nonuniform spatial grids are essential to limit the total number of grid points while at the same time resolving physical features. A novel algorithm for efficient computation of electron density without complete solution of the system of equations even in the presence of nonzero self-energies throughout the device has been used in this simulator[2]. The numerical problem consists in computing the diagonal elements of the matrix Gr = [ EI - H - ∑ ]-1 (retarded Green’s function) and G< = G∑<G† (electron correlation Green’s function), where E is the energy level, H is the device Hamiltonian matrix, and ∑ and ∑< are self energies († denotes the transpose conjugate of a matrix). The algorithmic flow is based on Dyson’s equation solved through recursive Green’s function approach. NanoFET has been parallelized with Message Passing Interface (MPI) and ported to various computing platforms at Purdue University. The MPI is applied in the integration procedure to calculate the charge density over the energy spectrum while the Green’s function at each energy point is calculated by a serial algorithm. The resulting speed-up factor shows a satisfactory scaling behavior for up to 32 processors. NanoFET has been benchmarked[3] against nanoMOS (a mode space approach to solving NEGF equations) and QuaMC (Quantum-corrected Monte-Carlo) simulators that are available on nanoHUB.org. |
| Credits | NanoFET has been parallelized with MPI and ported to various platforms at Purdue University, West Lafayette, IN, USA. More information on NanoFET can be found by contacting Shaikh S. Ahmed. |
| Cite this work | If you reference this work in a publication, please cite as follows:
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| Version released | 08 May, 2008 |
| Type | Tools |
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Citations
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Affiliated authors
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Ahmed, S.; Klimeck, G.; Kearney, D.; McLennan, M.; Anantram, M.P. (2007), "Quantum Simulations of Dual Gate MOSFET Devices: Building and Deploying Community Nanotechnology Software Tools on nanoHUB.org", International Journal of High Speed Electronics and Systems, 17, 3: pg. 485-494, 09.
Ahmed, S.; Klimeck, G.; Kearney, D.; McLennan, M.; Anantram, M.P. (2007), "Quantum Simulations of Dual Gate MOSFET Devices: Building and Deploying Community Nanotechnology Software Tools on nanoHUB.org", International Journal of High Speed Electronics and Systems, 17, 3: pg. 485-494, 09.
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NCN Nanoelectronics: Simulation Tools for Education
NCN Nanoelectronics: Simulation Tools for Education
Many simulation tools are available on the nanoHUB. The tools have been well-tested and here include supporting materials so that they can be effectively used for education or intelligently used for research. The educational tools include example a first time users guide and example homework …
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