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Journal of Computational Electronics

, Volume 15, Issue 4, pp 1123–1129 | Cite as

Incoherent transport in NEMO5: realistic and efficient scattering on phonons

  • James Charles
  • Prasad Sarangapani
  • Roksana Golizadeh-Mojarad
  • Robert Andrawis
  • Daniel Lemus
  • Xinchen Guo
  • Daniel Mejia
  • James E. Fonseca
  • Michael Povolotskyi
  • Tillmann Kubis
  • Gerhard Klimeck
Article

Abstract

In this work, the coherent and incoherent transport simulation capabilities of the multipurpose nanodevice simulation tool NEMO5 are presented and applied on transport in tunneling field-effect transistors. The comparison with experimental resistivity data confirms the validity of NEMO5’s phonon-scattering models. Common pitfalls of numerical implementations and the applicability of common approximations of scattering self-energies are discussed. The impact of phonon-assisted tunneling on the performance of TFETs is exemplified with a concrete Si nanowire device. The communication-efficient implementation of self-energies in NEMO5 is demonstrated with a scaling comparison of self-energies solved with blocking and nonblocking MPI-communication.

Keywords

Inelastic scattering Non-equilibrium Green’s function Electron–phonon scattering Tunneling field-effect transistors 

Notes

Acknowledgments

The use of nanoHUB.org computational resources operated by the Network for Computational Nanotechnology, funded by the US National Science Foundation under Grant Nos. EEC-0228390, EEC-1227110, EEC-0228390, EEC-0634750, OCI-0438246, OCI-0832623, and OCI-0721680, is gratefully acknowledged. NEMO5 developments were critically supported by an NSF Peta-Apps award OCI-0749140 and by Intel Corp. This work was supported in part by funding from the Semiconductor Research Corporation’s Global Research Collaboration (GRC) (2653.001), and Member Specific Research Intel (MSR-Intel) (2434.001). Additional funding was provided by the Semiconductor Research Corporation membership in the Network for Computational Nanotechnology. This research is part of the Blue Waters’ sustained-petascale computing project, which is supported by the National Science Foundation (award number ACI 1238993) and the state of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. This work is also part of the “Accelerating Nano-scale Transistor Innovation with NEMO5 on Blue Waters” PRAC allocation support by the National Science Foundation (award number OCI-0832623). This research was supported in part through computational resources provided by Information Technology at Purdue University, West Lafayette, Indiana.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • James Charles
    • 1
    • 2
  • Prasad Sarangapani
    • 1
    • 2
  • Roksana Golizadeh-Mojarad
    • 3
  • Robert Andrawis
    • 1
  • Daniel Lemus
    • 1
    • 2
  • Xinchen Guo
    • 1
    • 2
  • Daniel Mejia
    • 1
    • 2
  • James E. Fonseca
    • 2
  • Michael Povolotskyi
    • 2
  • Tillmann Kubis
    • 2
  • Gerhard Klimeck
    • 1
    • 2
  1. 1.School of Electrical and Computer EngineeringPurdue UniversityWest LafayetteUSA
  2. 2.Network for Computational NanotechnologyPurdue UniversityWest LafayetteUSA
  3. 3.Intel CorporationSanta ClaraUSA

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