IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-61924-6.html
   My bibliography  Save this article

2D computational photodetectors enabling multidimensional optical information perception

Author

Listed:
  • Fakun Wang

    (Nanyang Technological University)

  • Shi Fang

    (Nanyang Technological University)

  • Yue Zhang

    (Nanyang Technological University)

  • Qi Jie Wang

    (Nanyang Technological University
    Nanyang Technological University)

Abstract

Multidimensional optical information, encompassing spatiotemporal intensity, spectral composition, and polarization, enables a wide range of advanced applications, including environmental monitoring, biomedical imaging, and optical communications. Two-dimensional van der Waals (2D vdW) materials have emerged as promising platforms for detecting such diverse optical signals. This Review highlights recent progress in 2D-based computational photodetectors, with a focus on static and dynamic intensity sensing, spectral reconstruction, and Stokes parameter measurement. Representative device concepts, including neuromorphic vision sensors, computational spectrometers, and miniaturized polarimeters, are discussed in terms of their operating principles and sensing capabilities. Moreover, we propose future directions for high-dimensional optical information acquisition and advanced device development, emphasizing coordinated advancements in detection performance, perception functionality, and chip-level integration.

Suggested Citation

  • Fakun Wang & Shi Fang & Yue Zhang & Qi Jie Wang, 2025. "2D computational photodetectors enabling multidimensional optical information perception," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61924-6
    DOI: 10.1038/s41467-025-61924-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-61924-6
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-61924-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61924-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.