Ferroelectric Polarization Enhanced Performance and Broadband Photodetector for Neural Network Recognition

Ruiqi Jiang, Yongfeng Jia, Fuxing Dai, Xuming Shi, Zhaotan Gao, Zhangxinyu Zhou, Hangrui Shi, Zhihao Wu, Yi Sun, Guoqiang Luo, Jin Wang, Fang Wang, Lin Wang, Jinzhong Zhang, Zhigao Hu, Junhao Chu, Weida Hu

Research output: Contribution to journalArticlepeer-review

Abstract

The polarization electric field provided by ferroelectric materials can achieve precise control of the carrier concentration in van der Waals semiconductors, providing a more flexible, convenient, and efficient new approach for improving the performance and intelligent application of photodetectors. The UV-midinfrared photodetector with a sandwich structure of (Formula presented.) /CIPS, leverages the spontaneous polarization and (Formula presented.) ion migration within CIPS to modify the electric dipole moment at the interface between BP and (Formula presented.). This modification induces changes in the built-in electric field between BP and (Formula presented.), facilitating carrier separation and migration, thereby suppressing dark current and enhancing detectivity. Through gate voltage control, the device achieves an order-of-magnitude improvement in photocurrent, which demonstrates high specific blackbody detectivity, reaching up to (Formula presented.) in the infrared region. Furthermore, high-resolution images of letters are achieved by the (Formula presented.) /CIPS-based ferroelectric photodetectors. The devices achieve accurate image recognition by applying deep learning techniques. This work not only highlights the potential of CIPS-based device for high-sensitivity and broadband detection but also offers a new approach to neuromorphic computing applications.

Original languageEnglish
Article numbere00298
JournalLaser and Photonics Reviews
Volume19
Issue number18
DOIs
StatePublished - 18 Sep 2025

Keywords

  • 2D materials
  • broadband photodetector
  • convolutional neural networks
  • ferroelectric regulation
  • intelligent recognition

Fingerprint

Dive into the research topics of 'Ferroelectric Polarization Enhanced Performance and Broadband Photodetector for Neural Network Recognition'. Together they form a unique fingerprint.

Cite this