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A statistical and modeling study on the effects of radiation on Au/Ta/ZrO2(Y)/Pt/Ti memristive devices

Author

Listed:
  • Maldonado, D.
  • Cantudo, A.
  • Guseinov, D.V.
  • Koryazhkina, M.N.
  • Okulich, E.V.
  • Tetelbaum, D.I.
  • Bartev, N.O.
  • Danchenko, N.G.
  • Pikar, V.A.
  • Teterevkov, A.V.
  • Jiménez-Molinos, F.
  • Mikhaylov, A.N.
  • Roldán, J.B.

Abstract

In this study we have investigated the impact of the changes induced by ion irradiation on the performance and reliability of Au/Ta/ZrO2(Y)/Pt/Ti memristive devices. A comprehensive experimental approach was employed, involving irradiation with various ion species, including H+, Ne+, O+, and Kr+ to simulate different radiation environments. Thus, advanced statistical and modeling techniques to analyze the effects of irradiation on the resistive switching (RS) characteristics of the devices have been employed. Results revealed alterations in the post-irradiation RS parameters, including set and reset voltages and currents. These changes were found to depend on the ion species and dosage, with heavier ions such as Kr+ causing more pronounced effects. The findings are supported by detailed Monte Carlo simulations, which provided insights into the distribution of vacancies within the memristive devices under neutron irradiation. The experimental data, combined with the modeling results, indicate that RS is generally tolerant to radiation, although ion irradiation can lead to the formation of defect structures that affect the switching parameters of memristive devices.

Suggested Citation

  • Maldonado, D. & Cantudo, A. & Guseinov, D.V. & Koryazhkina, M.N. & Okulich, E.V. & Tetelbaum, D.I. & Bartev, N.O. & Danchenko, N.G. & Pikar, V.A. & Teterevkov, A.V. & Jiménez-Molinos, F. & Mikhaylov, , 2025. "A statistical and modeling study on the effects of radiation on Au/Ta/ZrO2(Y)/Pt/Ti memristive devices," Chaos, Solitons & Fractals, Elsevier, vol. 191(C).
  • Handle: RePEc:eee:chsofr:v:191:y:2025:i:c:s0960077924014619
    DOI: 10.1016/j.chaos.2024.115909
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    1. M. Prezioso & F. Merrikh-Bayat & B. D. Hoskins & G. C. Adam & K. K. Likharev & D. B. Strukov, 2015. "Training and operation of an integrated neuromorphic network based on metal-oxide memristors," Nature, Nature, vol. 521(7550), pages 61-64, May.
    2. Koryazhkina, M.N. & Filatov, D.O. & Shishmakova, V.A. & Shenina, M.E. & Belov, A.I. & Antonov, I.N. & Kotomina, V.E. & Mikhaylov, A.N. & Gorshkov, O.N. & Agudov, N.V. & Guarcello, C. & Carollo, A. & S, 2022. "Resistive state relaxation time in ZrO2(Y)-based memristive devices under the influence of external noise," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    3. Filatov, D.O. & Koryazhkina, M.N. & Novikov, A.S. & Shishmakova, V.A. & Shenina, M.E. & Antonov, I.N. & Gorshkov, O.N. & Agudov, N.V. & Carollo, A. & Valenti, D. & Spagnolo, B., 2022. "Effect of internal noise on the relaxation time of an yttria stabilized zirconia-based memristor," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
    4. Surazhevsky, I.A. & Demin, V.A. & Ilyasov, A.I. & Emelyanov, A.V. & Nikiruy, K.E. & Rylkov, V.V. & Shchanikov, S.A. & Bordanov, I.A. & Gerasimova, S.A. & Guseinov, D.V. & Malekhonova, N.V. & Pavlov, D, 2021. "Noise-assisted persistence and recovery of memory state in a memristive spiking neuromorphic network," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    5. Kaichen Zhu & Sebastian Pazos & Fernando Aguirre & Yaqing Shen & Yue Yuan & Wenwen Zheng & Osamah Alharbi & Marco A. Villena & Bin Fang & Xinyi Li & Alessandro Milozzi & Matteo Farronato & Miguel Muño, 2023. "Hybrid 2D–CMOS microchips for memristive applications," Nature, Nature, vol. 618(7963), pages 57-62, June.
    6. Agudov, N.V. & Dubkov, A.A. & Safonov, A.V. & Krichigin, A.V. & Kharcheva, A.A. & Guseinov, D.V. & Koryazhkina, M.N. & Novikov, A.S. & Shishmakova, V.A. & Antonov, I.N. & Carollo, A. & Spagnolo, B., 2021. "Stochastic model of memristor based on the length of conductive region," Chaos, Solitons & Fractals, Elsevier, vol. 150(C).
    7. E. L. Pankratov & B. Spagnolo, 2005. "Optimization of impurity profile for p-n-junction in heterostructures," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 46(1), pages 15-19, July.
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