Advanced Search
Article Contents
ABOUT THIS ARTICLE
The Innovation Materials > 2026 Vol. 4 > No. 3 > 100226
Next Article Previous Article
EDITORIAL   Open Access     Cite

AI-guided stability design for perovskite photovoltaics

  • 1.

    Forschungszentrum Jülich, Helmholtz-Institute Erlangen-Nürnberg (HI ERN), Department of High-Throughput Methods in Photovoltaics, Erlangen 91058, Germany

  • 2.

    Institute of Materials Data Science and Informatics (IMD-3), Forschungszentrum Jülich, Erlangen 91058, Germany

  • 3.

    Institute of Materials for Electronics and Energy Technology (i-MEET), Department of Materials Science and Engineering, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen 91058, Germany

More Information
  • Corresponding author: jiyun.zhang@fau.de
  • Received Date:  May 28, 2026
    Accepted Date:  July 10, 2026
    Published Online:  July 16, 2026
The Innovation Materials  4(3),  https://doi.org/10.59717/j.xinn-mater.2026.100226  |  Cite this article
    • FullText(HTML)
  • 加载中
    • REFERENCES
  • [1] Guo J., Li B., Zhang Z., et al. (2026). AI-guided design of efficient perovskite solar cells operationally stable at 100°C. Science 392:724−728. DOI:10.1126/science.aef1620

    View in Article CrossRef Google Scholar

    [2] Gao D., Lu S., Zhang C., et al. (2026). Autonomous closed-loop framework for reproducible perovskite solar cells. Nature 653:707−714. DOI:10.1038/s41586-026-10482-y

    View in Article CrossRef Google Scholar

    [3] Jacobsson T. J., Hultqvist A., García-Fernández A., et al. (2022). An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles. Nat. Energy 7:107−115. DOI:10.1038/s41560-021-00941-3

    View in Article CrossRef Google Scholar

    [4] Zhang J., Hauch J. A. and Brabec C. J. (2024). Toward self-driven autonomous material and device acceleration platforms (AMADAP) for emerging photovoltaics technologies. Acc. Chem. Res. 57:1434−1445. DOI:10.1021/acs.accounts.4c00095

    View in Article CrossRef Google Scholar

    [5] Khenkin M. V., Katz E. A., Abate A., et al. (2020). Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures. Nat. Energy 5:35−49. DOI:10.1038/s41560-019-0529-5

    View in Article CrossRef Google Scholar

    • Cited by

  • Cite this article:

    Zhang J. (2026). AI-guided stability design for perovskite photovoltaics. The Innovation Materials 4:100226. https://doi.org/10.59717/j.xinn-mater.2026.100226
    Zhang J. (2026). AI-guided stability design for perovskite photovoltaics. The Innovation Materials 4:100226. https://doi.org/10.59717/j.xinn-mater.2026.100226

Welcome!

To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.

PDF
Figures(1)    

Share

  • Share the QR code with wechat scanning code to friends and circle of friends.

Article Metrics

Article views(295) PDF downloads(135)

Relative Articles

Cited by

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return

    {{newsColumn.name}}

    {{newsColumn.name}}

    Stay connected

    {{newsColumn.name}}

    Website copyright © Innovation Press. Published articles are licensed under CC BY with copyright retained by the authors.