skip to main content
10.1145/3611315.3633248acmotherconferencesArticle/Chapter ViewAbstractPublication PagesnanoarchConference Proceedingsconference-collections
short-paper

Impact of the switching mode on the read noise of ReRAM devices

Published: 25 January 2024 Publication History

Abstract

Valence change mechanism (VCM)-based memristive devices are interesting candidates for computing in memory and neuromorphic applications. For these devices read noise is a characteristic which is influenced by a variety of factors like the switching mode, namely the area-dependent and the filamentary mode. In this paper we use TiOx-based devices as an example system exhibiting both modes. This allows to only investigate the effect of the modes while excluding other influences. We find that the read noise in the area-dependent mode is lower than for the filamentary mode and that abrupt current jumps are primarily seen for the filamentary mode. This has to be taken into account when choosing the right operation mode for a specific application.

References

[1]
S. Aussen, F. Cuppers, R. Waser, and S. Hoffmann-Eifert. 2022. Direct Comparison of the SET Kinetics of a TiOx/Al2O3-based Memristive Cell in Filamentary- and Area-Mode. (2022).
[2]
Zh. Chai, P. Freitas, W. Zhang, F. Hatem, J. F. Zhang, J. Marsland, B. Govoreanu, L. Goux, and G. S. Kar. 2018. Impact of RTN on Pattern Recognition Accuracy of RRAM-Based Synaptic Neural Network. IEEE Electron Device Letters 39, 11 (2018).
[3]
F. Cüppers, S. Menzel, C. Bengel, A. Hardtdegen, M. von Witzleben, U. Böttger, R. Waser, and S. Hoffmann-Eifert. 2019. Exploiting the switching dynamics of HfO2-based ReRAM devices for reliable analog memristive behavior. APL Mater. 7, 9 (2019).
[4]
Shima Hosseinzadeh, Marius Klemm, Georg Fischer, and Dietmar Fey. 2023. Optimizing multi-level ReRAM memory for low latency and low energy consumption. it - Information Technology 65, 1–2 (2023), 52–64.
[5]
S. Kim, Y. Lee, H.-D. Kim, and S.-J. Choi. 2019. Precision-extension technique for accurate vector–matrix multiplication with a CNT transistor crossbar array. Nanoscale 11, 44 (2019).
[6]
E. O. Neftci, B. U. Pedroni, S. Joshi, M. Al-Shedivat, and G. Cauwenberghs. 2016. Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines. Front. Neurosci. 10 (2016).
[7]
K. Schnieders, C. Funck, F. Cüppers, S. Aussen, T. Kempen, A. Sarantopoulos, R. Dittmann, S. Menzel, V. Rana, S. Hoffmann-Eifert, and S. Wiefels. 2022. Effect of electron conduction on the read noise characteristics in ReRAM devices. APL Mater. 10, 10 (2022).
[8]
C. D. Schuman, S. R. Kulkarni, M. Parsa, J. Parker Mitchell, P. Date, and B. Kay. 2022. Opportunities for neuromorphic computing algorithms and applications. Nature Computational Science 2, 1 (2022).
[9]
P.-H. Tseng, M.-H. Lee, Y.-H. Lin, H.-L. Lung, K.-C. Wang, and C.-Y. Lu. 2021. ReRAM-Based Pseudo-True Random Number Generator With High Throughput and Unpredictability Characteristics. IEEE Trans. Electron Devices 68, 4 (2021).
[10]
H. Zhang, S. Yoo, S. Menzel, C. Funck, F. Cüppers, D. J. Wouters, C. Seong Hwang, R. Waser, and S. Hoffmann-Eifert. 2018. Understanding the Coexistence of Two Bipolar Resistive Switching Modes with Opposite Polarity in Pt/TiO2/Ti/Pt Nanosized ReRAM Devices. ACS Appl Mater Interfaces 10, 35 (2018).

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
NANOARCH '23: Proceedings of the 18th ACM International Symposium on Nanoscale Architectures
December 2023
222 pages
This work is licensed under a Creative Commons Attribution International 4.0 License.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 January 2024

Check for updates

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Funding Sources

  • Federal Ministry of Education and Research

Conference

NANOARCH '23

Acceptance Rates

Overall Acceptance Rate 55 of 87 submissions, 63%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 55
    Total Downloads
  • Downloads (Last 12 months)28
  • Downloads (Last 6 weeks)4
Reflects downloads up to 03 Mar 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media