Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • News & Views
  • Published:

Neuromorphic computing

Printed devices turn neuromorphic

Nature Nanotechnology (2026) Cite this article

Subjects

Artificial neurons based on printed molybdenum disulfide nanosheet networks achieve multi-order spiking dynamics that operate on physiologically relevant timescales, offering a platform for next-generation biohybrid interfaces.

This is a preview of subscription content, access via your institution

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

Learn more

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Printed MoS2 neuristor for brain–machine interface.
The alternative text for this image may have been generated using AI.

References

  1. Pickett, M. D., Medeiros-Ribeiro, G. & Williams, R. S. Nat. Mater. 12, 114–117 (2013).

    Article  CAS  PubMed  Google Scholar 

  2. Yi, W. et al. Nat. Commun. 9, 4661 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Zhao, R. et al. Chem. Rev. 125, 745–785 (2025).

    Article  PubMed  Google Scholar 

  4. Hadke, S. S. Nat. Nanotechnol. https://doi.org/10.1038/s41565-026-02149-6 (2026).

    Article  PubMed  Google Scholar 

  5. Barnett, M. W. & Larkman, P. M. Pract. Neurol. 7, 192–197 (2007).

    PubMed  Google Scholar 

  6. Kumar, S., Williams, R. S. & Wang, Z. Nature 585, 518–523 (2020).

    Article  CAS  PubMed  Google Scholar 

  7. Zhao, R. et al. Nat. Electron. 8, 1211–1221 (2025).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA

    Ruoyu Zhao & J. Joshua Yang

Authors
  1. Ruoyu Zhao
    View author publications

    Search author on:PubMed Google Scholar

  2. J. Joshua Yang
    View author publications

    Search author on:PubMed Google Scholar

Corresponding author

Correspondence to J. Joshua Yang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, R., Yang, J.J. Printed devices turn neuromorphic. Nat. Nanotechnol. (2026). https://doi.org/10.1038/s41565-026-02186-1

Download citation

  • Published:

  • Version of record:

  • DOI: https://doi.org/10.1038/s41565-026-02186-1

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing