Journal of Computational Electronics

, Volume 12, Issue 4, pp 592–600 | Cite as

Efficient and realistic device modeling from atomic detail to the nanoscale

  • J. E. Fonseca
  • T. Kubis
  • M. Povolotskyi
  • B. Novakovic
  • A. Ajoy
  • G. Hegde
  • H. Ilatikhameneh
  • Z. Jiang
  • P. Sengupta
  • Y. Tan
  • G. Klimeck


As semiconductor devices scale to new dimensions, the materials and designs become more dependent on atomic details. NEMO5 is a nanoelectronics modeling package designed for comprehending the critical multi-scale, multi-physics phenomena through efficient computational approaches and quantitatively modeling new generations of nanoelectronic devices as well as predicting novel device architectures and phenomena. This article seeks to provide updates on the current status of the tool and new functionality, including advances in quantum transport simulations and with materials such as metals, topological insulators, and piezoelectrics.


Nanoelectronics Greens function formalism (NEGF) NEMO Tight-binding Quantum dot Strain Transport and phonons Poisson Parallel computing 



This work was partially supported by NSF PetaApps grant number OCI-0749140, NSF grant EEC-0228390 that funds the Network for Computational Nanotechnology, and SRC NEMO5 development: Semiconductor Research Corporation (SRC) (Task 2141), and Intel Corp.

With kind permission from Springer Science+Business Media: Journal of Computational Electronics, Empirical tight binding parameters for GaAs and MgO with explicit basis through DFT mapping, volume 12, issue 1, 2013, pp. 56–60, Yaohua Tan, Michael Povolotskyi, Tillmann Kubis, Yu He, Zhengping Jiang, Gerhard Klimeck, and Timothy B. Boykin, Figs. 6 and 7, ©Springer Science+Business Media New York 2013 doi: 10.1007/s10825-013-0436-0.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • J. E. Fonseca
    • 1
  • T. Kubis
    • 1
  • M. Povolotskyi
    • 1
  • B. Novakovic
    • 1
  • A. Ajoy
    • 1
  • G. Hegde
    • 1
  • H. Ilatikhameneh
    • 1
  • Z. Jiang
    • 1
  • P. Sengupta
    • 1
  • Y. Tan
    • 1
  • G. Klimeck
    • 1
  1. 1.Network for Computational Nanotechnology Purdue University West LafayetteIndianaUSA

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