Skip to main content
Top
Published in:

13-09-2024

Chaotic computing cell based on nanostructured phase-change materials

Authors: A. A. Nevzorov, A. A. Burtsev, A. V. Kiselev, V. A. Mikhalevsky, V. V. Ionin, N. N. Eliseev, A. A. Lotin

Published in: Journal of Computational Electronics | Issue 6/2024

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper presents and investigates a new architecture of a computational cell based on nanoparticles of the phase-change material Ge2Sb2Te5. Such a cell is a chaotic array of nanoparticles deposited between closely spaced electrical contacts. The state of such a structure is determined by the resistance of the nanoparticle array, which depends on the phase state of each particle of the material. Simulation results show that the proposed structure has a number of electrical states switching features that cannot be achieved using a thin film architecture. The proposed architecture allows for smoother and more controlled switching of the resistance by electrical pulses. Simulation of the evolution of the cell state using complex control actions showed that the proposed structure can behave as an artificial convolutional neuron with horizontal connections and also as a multi-level memory cell. In addition, the proposed design is technologically simple to achieve and inexpensive to manufacture.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
4.
go back to reference Mladenov, V., Kirilov, S. An Improved Model for Metal Oxide-Based Memristors and Application in Memory Crossbars. In 2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) (pp. 1–4). IEEE. (2022) Mladenov, V., Kirilov, S. An Improved Model for Metal Oxide-Based Memristors and Application in Memory Crossbars. In 2022 18th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) (pp. 1–4). IEEE. (2022)
6.
go back to reference Ascoli, A., Schmitt, N., Messaris, I., Demirkol, A.S., Strachan, J.P., Tetzlaff, R., Chua, L.: An analytical approach to engineer multistability in the oscillatory response of a pulse-driven ReRAM. Sci. Rep. 14(1), 5626 (2024)CrossRef Ascoli, A., Schmitt, N., Messaris, I., Demirkol, A.S., Strachan, J.P., Tetzlaff, R., Chua, L.: An analytical approach to engineer multistability in the oscillatory response of a pulse-driven ReRAM. Sci. Rep. 14(1), 5626 (2024)CrossRef
7.
go back to reference Parshina, L., Novodvorsky, O., Khramova, O., Gusev, D., Polyakov, A., Cherebilo, E.: Tuning the resistive switching in tantalum oxide-based memristors by oxygen pressure during low temperature laser synthesis. Chaos, Solitons Fractals 161, 112384 (2022)CrossRef Parshina, L., Novodvorsky, O., Khramova, O., Gusev, D., Polyakov, A., Cherebilo, E.: Tuning the resistive switching in tantalum oxide-based memristors by oxygen pressure during low temperature laser synthesis. Chaos, Solitons Fractals 161, 112384 (2022)CrossRef
11.
go back to reference Zhang, Y., Zheng, Q., Zhu, X., Yuan, Z., Xia, K.: Spintronic devices for neuromorphic computing. Sci. China (Physics, Mechanics & Astronomy) 63(7), 128–130 (2020) Zhang, Y., Zheng, Q., Zhu, X., Yuan, Z., Xia, K.: Spintronic devices for neuromorphic computing. Sci. China (Physics, Mechanics & Astronomy) 63(7), 128–130 (2020)
12.
go back to reference Zhou, J., Chen, J.: Prospect of spintronics in neuromorphic computing. Adv. Electron. Mater. 7(9), 2100465 (2021)CrossRef Zhou, J., Chen, J.: Prospect of spintronics in neuromorphic computing. Adv. Electron. Mater. 7(9), 2100465 (2021)CrossRef
13.
go back to reference Kim, I.J., Lee, J.S.: Ferroelectric transistors for memory and neuromorphic device applications. Adv. Mater. 35(22), 2206864 (2023)CrossRef Kim, I.J., Lee, J.S.: Ferroelectric transistors for memory and neuromorphic device applications. Adv. Mater. 35(22), 2206864 (2023)CrossRef
14.
go back to reference Pei, Y., Zhou, Z., Chen, A.P., Chen, J., Yan, X.: A carbon-based memristor design for associative learning activities and neuromorphic computing. Nanoscale 12(25), 13531–13539 (2020)CrossRef Pei, Y., Zhou, Z., Chen, A.P., Chen, J., Yan, X.: A carbon-based memristor design for associative learning activities and neuromorphic computing. Nanoscale 12(25), 13531–13539 (2020)CrossRef
15.
go back to reference Du, C., Ren, Y., Qu, Z., Gao, L., Zhai, Y., Han, S.T., Zhou, Y.: Synaptic transistors and neuromorphic systems based on carbon nano-materials. Nanoscale 13(16), 7498–7522 (2021)CrossRef Du, C., Ren, Y., Qu, Z., Gao, L., Zhai, Y., Han, S.T., Zhou, Y.: Synaptic transistors and neuromorphic systems based on carbon nano-materials. Nanoscale 13(16), 7498–7522 (2021)CrossRef
18.
go back to reference Burtsev, A.A., Eliseev, N.N., Mikhalevsky, V.A., Kiselev, A.V., Ionin, V.V., Grebenev, V.V., Lotin, A.A.: Physical properties’ temperature dynamics of GeTe, Ge2Sb2Te5 and Ge2Sb2Se4Te1 phase change materials. Mater. Sci. Semicond. Process. 150, 106907 (2022)CrossRef Burtsev, A.A., Eliseev, N.N., Mikhalevsky, V.A., Kiselev, A.V., Ionin, V.V., Grebenev, V.V., Lotin, A.A.: Physical properties’ temperature dynamics of GeTe, Ge2Sb2Te5 and Ge2Sb2Se4Te1 phase change materials. Mater. Sci. Semicond. Process. 150, 106907 (2022)CrossRef
21.
go back to reference Han S.T., Zhou Y. (ed.).: Photo-Electroactive Non-Volatile Memories for Data Storage and Neuromorphic Computing. Woodhead Publishing (2020) Han S.T., Zhou Y. (ed.).: Photo-Electroactive Non-Volatile Memories for Data Storage and Neuromorphic Computing. Woodhead Publishing (2020)
25.
go back to reference Kozma R., Pino R.E., Pazienza G.E. (ed.).: Advances in neuromorphic memristor science and applications (Vol. 4). Springer Science & Business Media, (2012) Kozma R., Pino R.E., Pazienza G.E. (ed.).: Advances in neuromorphic memristor science and applications (Vol. 4). Springer Science & Business Media, (2012)
26.
go back to reference Caretta Antonio, Casarin Barbara, Chen Bin, Kooi Bart J., Malvestuto Marco: Ultrafast response of Ge2Sb2Te5 nanoparticles: The benefits of low energy amorphization switching with the same read/write speed of bulk memories. APL Mater. (2023). https://doi.org/10.1063/5.0156207 Caretta Antonio, Casarin Barbara, Chen Bin, Kooi Bart J., Malvestuto Marco: Ultrafast response of Ge2Sb2Te5 nanoparticles: The benefits of low energy amorphization switching with the same read/write speed of bulk memories. APL Mater. (2023). https://​doi.​org/​10.​1063/​5.​0156207
28.
go back to reference Raoux S., Wutting M. (ed.).: Phase Change Materials. Science and Applications. Springer Science (2009) Raoux S., Wutting M. (ed.).: Phase Change Materials. Science and Applications. Springer Science (2009)
29.
Metadata
Title
Chaotic computing cell based on nanostructured phase-change materials
Authors
A. A. Nevzorov
A. A. Burtsev
A. V. Kiselev
V. A. Mikhalevsky
V. V. Ionin
N. N. Eliseev
A. A. Lotin
Publication date
13-09-2024
Publisher
Springer US
Published in
Journal of Computational Electronics / Issue 6/2024
Print ISSN: 1569-8025
Electronic ISSN: 1572-8137
DOI
https://doi.org/10.1007/s10825-024-02221-1