IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-23711-x.html
   My bibliography  Save this article

Highly sensitive active pixel image sensor array driven by large-area bilayer MoS2 transistor circuitry

Author

Listed:
  • Seongin Hong

    (Sungkyunkwan University
    The University of Texas at Austin)

  • Nicolò Zagni

    (University of Modena and Reggio Emilia)

  • Sooho Choo

    (Sungkyunkwan University)

  • Na Liu

    (Sungkyunkwan University)

  • Seungho Baek

    (Sungkyunkwan University)

  • Arindam Bala

    (Sungkyunkwan University)

  • Hocheon Yoo

    (Gachon University)

  • Byung Ha Kang

    (Yonsei University)

  • Hyun Jae Kim

    (Yonsei University)

  • Hyung Joong Yun

    (Korea Basic Science Institute (KBSI))

  • Muhammad Ashraful Alam

    (Purdue University)

  • Sunkook Kim

    (Sungkyunkwan University)

Abstract

Various large-area growth methods for two-dimensional transition metal dichalcogenides have been developed recently for future electronic and photonic applications. However, they have not yet been employed for synthesizing active pixel image sensors. Here, we report on an active pixel image sensor array with a bilayer MoS2 film prepared via a two-step large-area growth method. The active pixel of image sensor is composed of 2D MoS2 switching transistors and 2D MoS2 phototransistors. The maximum photoresponsivity (Rph) of the bilayer MoS2 phototransistors in an 8 × 8 active pixel image sensor array is statistically measured as high as 119.16 A W−1. With the aid of computational modeling, we find that the main mechanism for the high Rph of the bilayer MoS2 phototransistor is a photo-gating effect by the holes trapped at subgap states. The image-sensing characteristics of the bilayer MoS2 active pixel image sensor array are successfully investigated using light stencil projection.

Suggested Citation

  • Seongin Hong & Nicolò Zagni & Sooho Choo & Na Liu & Seungho Baek & Arindam Bala & Hocheon Yoo & Byung Ha Kang & Hyun Jae Kim & Hyung Joong Yun & Muhammad Ashraful Alam & Sunkook Kim, 2021. "Highly sensitive active pixel image sensor array driven by large-area bilayer MoS2 transistor circuitry," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23711-x
    DOI: 10.1038/s41467-021-23711-x
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-23711-x
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-021-23711-x?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xingchen Pang & Yang Wang & Yuyan Zhu & Zhenhan Zhang & Du Xiang & Xun Ge & Haoqi Wu & Yongbo Jiang & Zizheng Liu & Xiaoxian Liu & Chunsen Liu & Weida Hu & Peng Zhou, 2024. "Non-volatile rippled-assisted optoelectronic array for all-day motion detection and recognition," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    2. Pengshan Xie & Yunchao Xu & Jingwen Wang & Dengji Li & Yuxuan Zhang & Zixin Zeng & Boxiang Gao & Quan Quan & Bowen Li & You Meng & Weijun Wang & Yezhan Li & Yan Yan & Yi Shen & Jia Sun & Johnny C. Ho, 2024. "Birdlike broadband neuromorphic visual sensor arrays for fusion imaging," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    3. Pei-Yu Huang & Bi-Yi Jiang & Hong-Ji Chen & Jia-Yi Xu & Kang Wang & Cheng-Yi Zhu & Xin-Yan Hu & Dong Li & Liang Zhen & Fei-Chi Zhou & Jing-Kai Qin & Cheng-Yan Xu, 2023. "Neuro-inspired optical sensor array for high-accuracy static image recognition and dynamic trace extraction," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

    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:12:y:2021:i:1:d:10.1038_s41467-021-23711-x. 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.