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Simulation of memristor switching time series in response to spike-like signal

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  • Zhevnenko, D.
  • Meshchaninov, F.
  • Kozhevnikov, V.
  • Shamin, E.
  • Belov, A.
  • Gerasimova, S.
  • Guseinov, D.
  • Mikhaylov, A.
  • Gornev, E.

Abstract

Memristor based device development is among the most promising and fast developing branches of modern microelectronics. Therefore, memristor modeling remains an important task due to constant improvement in understanding of resistive switching mechanism. We present a compact model with the features of modified mobility included as well as a method of switching series approximation. In addition, the method was applied to an experimental set of switching cycles of the ZrO2(Y)-based device. The obtained results include the extraction of model parameters for each I-V curve, the result of statistical processing of the parameters cycle-to-cycle variations, the estimation of the dynamic attractors, analysis of the region of the state variable of the model, and estimation of switching power consumption.

Suggested Citation

  • Zhevnenko, D. & Meshchaninov, F. & Kozhevnikov, V. & Shamin, E. & Belov, A. & Gerasimova, S. & Guseinov, D. & Mikhaylov, A. & Gornev, E., 2021. "Simulation of memristor switching time series in response to spike-like signal," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    • Handle: RePEc:eee:chsofr:v:142:y:2021:i:c:s0960077920307761
    DOI: 10.1016/j.chaos.2020.110382
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    1. Spagnolo, B. & Valenti, D. & Guarcello, C. & Carollo, A. & Persano Adorno, D. & Spezia, S. & Pizzolato, N. & Di Paola, B., 2015. "Noise-induced effects in nonlinear relaxation of condensed matter systems," Chaos, Solitons & Fractals, Elsevier, vol. 81(PB), pages 412-424.
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    Cited by:

    1. Setoudeh, Farbod & Dousti, Massoud, 2022. "Analysis and implementation of a meminductor-based colpitts sinusoidal oscillator," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).

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