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cntFET

This resource has a 10.0 Ranking

Ranking is calculated from a formula comprised of user reviews and usage statistics. Learn more ›

Usage Stats
Overall Period: Updated 03 Jul, 2008
Users: 573
Jobs: 20605
Avg. exec. time: 46 mins
Reviews & Citations
Google/IEEE: updated 22 Apr, 2008
Avg. Review: 5.0 out of 5 stars
Citations: 4

573 users, detailed statistics

1 review (Review this)

4 citations

1 question (Ask a question)

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Version 1.4 - published on 08 May, 2008
Contributor(s) Neophytos Neophytou, Shaikh S. Ahmed
Purdue University, West Lafayette

Eric Polizzi
University of Massachusetts, Amherst

Gerhard Klimeck, Mark Lundstrom
Purdue University, West Lafayette
At a glance Simulates ballistic transport properties in 3D Carbon NanoTube Field Effect Transistor (CNTFET) devices
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Description

CNTFET can currently simulate the impact of quantum mechanical size quantization and phase coherence in zigzag nanotubes with both planar and coaxial exterior architectures. The application is based on the Non-Equilibrium Greens’ Function (NEGF) techniques using a pz-orbital nearest-neighbor tight binding. Full three-dimensional (3D) electrostatics has been captured by the Finite-Element-Method (FEM) of solving the Poisson Equation. Solution of this set of equations is computationally expensive. One can reduce the simulation time by using a mode-space approach instead of the real-space approach. By default the simulator solves for both electrons and holes, although one may activate electron-transport only. 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. Developed at Purdue University, CNTFET has been parallelized with Message Passing Interface (MPI) and ported to various computing platforms. 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.

Credits CNTFET has been developed at Purdue University, West Lafayette, IN, USA. More information on CNTFET can be found by contacting Neophytos Neophytou or Shaikh S. Ahmed.
Cite this work

If you reference this work in a publication, please cite as follows:

  • Neophytos Neophytou, Shaikh Ahmed, Gerhard Klimeck, "Non-Equilibrium Green’s Function (NEGF) Simulation of Metallic Carbon Nanotubes: The Effect of the Vacancy Defect," Journal of Computational Electronics, in press (2007).

  • Neophytos Neophytou, Jing Guo, Mark Lundstrom, "Three-dimensional electrostatic effects of carbon nanotube transistors," IEEE Transactions on Nanotechnology 5, 385 (2006).

  • Neophytou, Neophytos; Ahmed, Shaikh S.; Polizzi, Eric; Klimeck, Gerhard; Lundstrom, Mark (2007), "cntFET," doi: 10254/nanohub-r1091.5.

    BibTex | EndNote

In addition, we would appreciate it if you would add the following acknowledgment to your publication:

  • Simulation services for results presented here were provided by the Network for Computational Nanotechnology (NCN) at nanoHUB.org

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  1. 5.0 out of 5 stars 

    Posted on 03 June, 2008 by shruti badhwar

    I have been using CNTfet tool as a part of my M.S Thesis at JNCASR,India which involves electrical and magneic transport measurements in CNTFETs.

    A comparison between the real- time experimental data, which is unfortunately mired with the effects of hysteresis due to moisture, random telegraphic noise due to charge-traps in the gate-oxide etc, and the ideal/theoretical current-voltage curves generated by solving the Poisson’s equation using CNTfet, can be used to account for the irregularities.

    Even more importantly, features such as density and potential profiles, incorporated in the tool help in developing a useful insight to the experimental results obtained, without worrying about issues that are associated with robustness and computational efficiency of the code.

    The dedicated, en masse effort of the people associated with nanohub, to bring the scientific community on a common platform must certainly be lauded.

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