Literature DB >> 34067459

Self-Consistent Enhanced S/D Tunneling Implementation in a 2D MS-EMC Nanodevice Simulator.

Cristina Medina-Bailon1,2, José Luis Padilla1, Carlos Sampedro1, Luca Donetti1, Vihar P Gergiev2, Francisco Gamiz1, Asen Asenov2.   

Abstract

The implementation of a source to drain tunneling in ultrascaled devices using MS-EMC has traditionally led to overestimated current levels in the subthreshold regime. In order to correct this issue and enhance the capabilities of this type of simulator, we discuss in this paper two alternative and self-consistent solutions focusing on different parts of the simulation flow. The first solution reformulates the tunneling probability computation by modulating the WKB approximation in a suitable way. The second corresponds to a change in the current calculation technique based on the utilization of the Landauer formalism. The results from both solutions are compared and contrasted to NEGF results from NESS. We conclude that the current computation modification constitutes the most suitable and advisable strategy to improve the MS-EMC tool.

Entities:  

Keywords:  DGSOI; FinFET; Landauer formalism; direct source-to-drain tunneling; multi-subband ensemble Monte Carlo; non-equilibrium Green’s functions; tunneling probability

Year:  2021        PMID: 34067459     DOI: 10.3390/mi12060601

Source DB:  PubMed          Journal:  Micromachines (Basel)        ISSN: 2072-666X            Impact factor:   2.891


  1 in total

1.  Quantum Enhancement of a S/D Tunneling Model in a 2D MS-EMC Nanodevice Simulator: NEGF Comparison and Impact of Effective Mass Variation.

Authors:  Cristina Medina-Bailon; Hamilton Carrillo-Nunez; Jaehyun Lee; Carlos Sampedro; Jose Luis Padilla; Luca Donetti; Vihar Georgiev; Francisco Gamiz; Asen Asenov
Journal:  Micromachines (Basel)       Date:  2020-02-16       Impact factor: 2.891

  1 in total
  1 in total

1.  Analysis of the Reformulated Source to Drain Tunneling Probability for Improving the Accuracy of a Multisubband Ensemble Monte Carlo Simulator.

Authors:  Jose Luis Padilla; Cristina Medina-Bailon; Antonio Palomares; Luca Donetti; Carlos Navarro; Carlos Sampedro; Francisco Gamiz
Journal:  Micromachines (Basel)       Date:  2022-03-28       Impact factor: 2.891

  1 in total

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