Self‐Powered Ferroelectric Bi‐Based Perovskite X‐Ray Detector for Radiation Monitoring and Intelligent Imaging Recognition

Abstract The advancement of 0D Bi‐based perovskites for X‐ray detection is limited by the difficulty of exciton dissociation and charge transport within isolated 0D structures, resulting in relatively low sensitivity, especially under 0 V bias. Herein, a lead‐free ferroelectric perovskite (Br‐PA) 3 BiI 3 Br 3 has been developed with a large saturation polarization (0.39 µC cm −2 ). The spontaneous ferroelectric polarization facilitates carrier separation and transport, resulting in a reduced exciton binding energy (112.8 meV) and an extended carrier lifetime (0.96 ms), ultimately leading to a substantial mobility‐lifetime product (1.08 × 10 −3 cm 2 V −1 ). Thus, the X‐ray detector based on (Br‐PA) 3 BiI 3 Br 3 achieves a sensitivity of up to 743 µC Gy air −1 cm −2 at 0 V bias, which is among the highest reported for self‐powered lead‐free perovskite X‐ray detectors. Furthermore, the inherent 0D structure significantly increases the activation energy for ion migration (808.9 meV), leading to a low current drift of 7.63 × 10 −17 A cm −1 V −1 s −1 and significantly improved operational stability. Based on self‐powered characteristics, a portable X‐ray monitoring system is successfully demonstrated to provide real‐time monitoring and feedback to a mobile user interface. Furthermore, an image processing algorithm and a back propagation neural network are used for image recognition, improving accuracy by 20% and significantly reducing the energy consumption.

Authors

Institutions

Publication Details

Journal
Laser & Photonics Review
Published
2025-08-30
DOI
https://doi.org/10.1002/lpor.202501217
Citations
1
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self‐Powered Ferroelectric Bi‐Based Perovskite X‐Ray Detector for Radiation Monitoring and Intelligent Imaging Recognition

Yuan‐Chih Chang, Wen‐Juan Wei, Jiayi Sun, Zengsheng Li et al.
1 citations
Laser & Photonics Review
Perovskite Materials and Applications
0.73
article

Self‐Powered Ferroelectric Bi‐Based Perovskite X‐Ray Detector for Radiation Monitoring and Intelligent Imaging Recognition

Yuan‐Chih Chang, Wen‐Juan Wei, Jiayi Sun, Zengsheng Li, Yang Yang, Junfang Wang, Xiangyue Meng, Shiwei Zhang, Xu Wang
article en
1 citations

Abstract

Abstract The advancement of 0D Bi‐based perovskites for X‐ray detection is limited by the difficulty of exciton dissociation and charge transport within isolated 0D structures, resulting in relatively low sensitivity, especially under 0 V bias. Herein, a lead‐free ferroelectric perovskite (Br‐PA) 3 BiI 3 Br 3 has been developed with a large saturation polarization (0.39 µC cm −2 ). The spontaneous ferroelectric polarization facilitates carrier separation and transport, resulting in a reduced exciton binding energy (112.8 meV) and an extended carrier lifetime (0.96 ms), ultimately leading to a substantial mobility‐lifetime product (1.08 × 10 −3 cm 2 V −1 ). Thus, the X‐ray detector based on (Br‐PA) 3 BiI 3 Br 3 achieves a sensitivity of up to 743 µC Gy air −1 cm −2 at 0 V bias, which is among the highest reported for self‐powered lead‐free perovskite X‐ray detectors. Furthermore, the inherent 0D structure significantly increases the activation energy for ion migration (808.9 meV), leading to a low current drift of 7.63 × 10 −17 A cm −1 V −1 s −1 and significantly improved operational stability. Based on self‐powered characteristics, a portable X‐ray monitoring system is successfully demonstrated to provide real‐time monitoring and feedback to a mobile user interface. Furthermore, an image processing algorithm and a back propagation neural network are used for image recognition, improving accuracy by 20% and significantly reducing the energy consumption.

Laser & Photonics ReviewVol. 20(2)
University of Chinese Academy of Sciences (CN), Zhejiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 24%
Perovskite Materials and Applications
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.