A Compact Device Model for Nanoparticle-organic Memory Transistor’s Characterization

Huy Van Mai, Olivier Bichler, Christian Gamrat, Yannick Viero, Fabien Alibart, Dominique Vuillaume
Author affiliations

Authors

  • Huy Van Mai Le Quy Don Technical University
  • Olivier Bichler CEA LIST, 91191 Gif--sur-Yvette, France
  • Christian Gamrat CEA LIST, 91191 Gif--sur-Yvette, France
  • Yannick Viero Institute for Electronics Microelectronics and Nanotechnology (IEMN), CNRS, Univ.of Lille, CS60069, 59652 Villeneuve d’ Ascq, France
  • Fabien Alibart Institute for Electronics Microelectronics and Nanotechnology (IEMN), CNRS, Univ.of Lille, CS60069, 59652 Villeneuve d’ Ascq, France
  • Dominique Vuillaume Institute for Electronics Microelectronics and Nanotechnology (IEMN), CNRS, Univ.of Lille, CS60069, 59652 Villeneuve d’ Ascq, France

DOI:

https://doi.org/10.15625/0868-3166/28/3/12359

Keywords:

dynamics, hybrid integrated circuit, modeling, nanotechnology, neural networks, synapse-like nanodevices, EKV model

Abstract

Neuromorphic electronic devices have recently been a candidate for new computing architecture associated with innovative nanotechnologies. A report of the characterization of Nanoparticle organic memory transistor (NOMFET) introduced a similar behavior to a biological spiking synapse in neural networks. In this paper, a refinement model based on the extracted parameters including a hybrid NOMFET/CMOS neuromorphic computing circuit and architecture of synapse to neuron interface by characterizing transistor -- memory and the temporal dynamic function is presented. A compact EKV model refinement serves as a link between nanotechnology process and circuit design for novel CMOS devices.

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References

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Published

14-11-2018

How to Cite

[1]
H. V. Mai, O. Bichler, C. Gamrat, Y. Viero, F. Alibart, and D. Vuillaume, “A Compact Device Model for Nanoparticle-organic Memory Transistor’s Characterization”, Comm. Phys., vol. 28, no. 3, p. 191, Nov. 2018.

Issue

Vol. 28 No. 3 (2018)

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Papers

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Received 23-04-2018
Accepted 04-07-2018
Published 14-11-2018