2020
DOI: 10.1007/s10825-020-01445-1
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The use of a Gaussian doping distribution in the channel region to improve the performance of a tunneling carbon nanotube field-effect transistor

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Cited by 12 publications
(4 citation statements)
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“…After determining the electrostatic potential U(x, y), it is entered into Eqn (1). the charge density Q, the electron charge e, and the device's permittivity P. Based on the tight-binding approach, the CNT's Hamiltonian matrix is determined by taking its immediate neighbours into account.…”
Section: Simentioning
confidence: 99%
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“…After determining the electrostatic potential U(x, y), it is entered into Eqn (1). the charge density Q, the electron charge e, and the device's permittivity P. Based on the tight-binding approach, the CNT's Hamiltonian matrix is determined by taking its immediate neighbours into account.…”
Section: Simentioning
confidence: 99%
“…Step1: Values are obtained for G(E), and U(x,y) from Eqn. (1,7,8,11). The initial values of and are taken from the Eqn.…”
Section: Thementioning
confidence: 99%
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“…Significant studies related to the proposed model include the following. The Gaussian-doping distribution in the channel region of the tunnel CNTFET structure exhibits increased saturation current but decreased OFF-state current [1]. The implantation of halo doping at the source side and a lightly doped drain enhances the performance of the Silicon Nanotube Tunnel Field Effect Transistor (NT TFET) [2].…”
Section: Introductionmentioning
confidence: 99%