Skip to main content

Advertisement

Log in

MEMRISTORS

Device solutions to scientific computing

  • News & Views
  • Published:

From Nature Electronics

View current issue Submit your manuscript

A memristor-based system can solve partial differential equations with better energy efficiency than methods based on conventional computers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1: Memristor crossbar performing matrix–vector multiplication.

References

  1. Zidan, M. A. et al. Nat. Electron. https://doi.org/10.1038/s41928-018-0100-6 (2018).

  2. Chua, L. IEEE Trans. Circuit Theory 18, 507–519 (1971).

    Article  Google Scholar 

  3. Li, C. et al. Nat. Electron. 1, 52–59 (2018).

    Article  Google Scholar 

  4. Akinaga, H. & Shima, H. Proc. IEEE 98, 2237–2251 (2010).

    Article  Google Scholar 

  5. Thomas, A. J. Phys. D: Appl. Phys. 46, 093001 (2013).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cory Merkel.

Additional information

Any opinions, findings and conclusions or recommendations expressed here are those of the author and do not necessarily reflect the views of the Air Force Research Laboratory or its contractors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Merkel, C. Device solutions to scientific computing. Nat Electron 1, 382–383 (2018). https://doi.org/10.1038/s41928-018-0108-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41928-018-0108-y

  • Springer Nature Limited

Navigation