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Modelling of nanoscale multi-gate transistors affected by atomistic interface roughness.
Nagy, Daniel; Aldegunde, Manuel; Elmessary, Muhammad A; García-Loureiro, Antonio J; Seoane, Natalia; Kalna, Karol.
Affiliation
  • Nagy D; CITIUS, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Galicia, Spain.
J Phys Condens Matter ; 30(14): 144006, 2018 Apr 11.
Article in En | MEDLINE | ID: mdl-29465038
ABSTRACT
Interface roughness scattering (IRS) is one of the major scattering mechanisms limiting the performance of non-planar multi-gate transistors, like Fin field-effect transistors (FETs). Here, two physical models (Ando's and multi-sub-band) of electron scattering with the interface roughness induced potential are investigated using an in-house built 3D finite element ensemble Monte Carlo simulation toolbox including parameter-free 2D Schrödinger equation quantum correction that handles all relevant scattering mechanisms within highly non-equilibrium carrier transport. Moreover, we predict the effect of IRS on performance of FinFETs with realistic channel cross-section shapes with respect to the IRS correlation length (Λ) and RMS height ([Formula see text]). The simulations of the n-type SOI FinFETs with the multi-sub-band IRS model shows its very strong effect on electron transport in the device channel compared to the Ando's model. We have also found that the FinFETs are strongly affected by the IRS in the ON-region. The limiting effect of the IRS significantly increases as the Fin width is reduced. The FinFETs with [Formula see text] channel orientation are affected more by the IRS than those with the [Formula see text] crystal orientation. Finally, Λ and [Formula see text] are shown to affect the device performance similarly. A change in values by 30% (Λ) or [Formula see text] ([Formula see text]) results in an increase (decrease) of up to [Formula see text] in the drive current.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Phys Condens Matter Journal subject: BIOFISICA Year: 2018 Document type: Article Affiliation country: Spain

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Phys Condens Matter Journal subject: BIOFISICA Year: 2018 Document type: Article Affiliation country: Spain