2011
DOI: 10.1109/ted.2010.2096820
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Semiclassical and Quantum Transport in CNTFETs Using Monte Carlo Simulation

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Cited by 9 publications
(4 citation statements)
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References 47 publications
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“…The distribution function f ν (x, k), from which all internal quantities such as current I ds and charge density n can be derived, is statistically obtained by using a multi-particle Monte-Carlo method [8], [11]. In this approach, the individual carrier trajectories are simulated under the influence of an electric field and random scattering forces.…”
Section: Transport Modelmentioning
confidence: 99%
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“…The distribution function f ν (x, k), from which all internal quantities such as current I ds and charge density n can be derived, is statistically obtained by using a multi-particle Monte-Carlo method [8], [11]. In this approach, the individual carrier trajectories are simulated under the influence of an electric field and random scattering forces.…”
Section: Transport Modelmentioning
confidence: 99%
“…Applying those models assumes the contact regions to be highly doped. Usually, doping concentrations in the range of 0.4 nm −1 to 1 nm −1 are used [8], [18], which correspond to a highly degenerate situation with Fermi levels at around 0.1 eV to 0.3 eV above the first conduction band. According to Fig.…”
Section: Transport Modelmentioning
confidence: 99%
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“…However, as the gate length of the MOSFETs has reduced down to 10 nm scale, not only well-known quantum confinement effect and ballistic transport, but also quantum transport effects along the channel direction such as source-drain (SD) direct tunneling, quantum reflection inside the channel and quantum repulsion in the source and drain regions have become more and more important [1][2][3]. Therefore, to analyze the device performances of future MOSFETs precisely, a device simulation considering scattering and quantum transport effects is indispensable.…”
Section: Introductionmentioning
confidence: 99%