TY - JOUR
T1 - Ferroelectric Polarization Enhanced Performance and Broadband Photodetector for Neural Network Recognition
AU - Jiang, Ruiqi
AU - Jia, Yongfeng
AU - Dai, Fuxing
AU - Shi, Xuming
AU - Gao, Zhaotan
AU - Zhou, Zhangxinyu
AU - Shi, Hangrui
AU - Wu, Zhihao
AU - Sun, Yi
AU - Luo, Guoqiang
AU - Wang, Jin
AU - Wang, Fang
AU - Wang, Lin
AU - Zhang, Jinzhong
AU - Hu, Zhigao
AU - Chu, Junhao
AU - Hu, Weida
N1 - Publisher Copyright:
© 2025 Wiley-VCH GmbH.
PY - 2025/9/18
Y1 - 2025/9/18
N2 - 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.
AB - 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.
KW - 2D materials
KW - broadband photodetector
KW - convolutional neural networks
KW - ferroelectric regulation
KW - intelligent recognition
UR - https://www.scopus.com/pages/publications/105005847095
U2 - 10.1002/lpor.202500298
DO - 10.1002/lpor.202500298
M3 - 文章
AN - SCOPUS:105005847095
SN - 1863-8880
VL - 19
JO - Laser and Photonics Reviews
JF - Laser and Photonics Reviews
IS - 18
M1 - e00298
ER -