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Micro/Nano Perovskite Materials for Advanced X-ray Detection and Imaging.
Yao, Fang; Dong, Kailian; Ke, Weijun; Fang, Guojia.
Afiliación
  • Yao F; Key Lab of Artificial Micro- and Nano-Structures of Ministry of Education of China, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China.
  • Dong K; School of Electronic and Electrical Engineering, Wuhan Textile University, Wuhan 430200, People's Republic of China.
  • Ke W; Key Lab of Artificial Micro- and Nano-Structures of Ministry of Education of China, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China.
  • Fang G; Shenzhen Institute, Wuhan University, Shenzhen 518055, Guangdong, People's Republic of China.
ACS Nano ; 18(8): 6095-6110, 2024 Feb 27.
Article en En | MEDLINE | ID: mdl-38372495
ABSTRACT
Halide perovskites have emerged as highly promising materials for ionizing radiation detection due to their exceptional characteristics, including a large mobility-lifetime product, strong stopping power, tunable band gap, and cost-effective crystal growth via solution processes. Semiconductor-type X-ray detectors employing various micro/nano perovskite materials have shown impressive progress in achieving heightened sensitivity and lower detection limits. Here, we present a comprehensive review of the applications of micro/nano perovskite materials for direct type X-ray detection, with a focus on the requirements for micro/nano crystal assembly and device properties in advanced X-ray detectors. We explore diverse processing techniques and optoelectronic considerations applied to perovskite X-ray detectors. Additionally, this review highlights the challenges and promising opportunities for perovskite X-ray detector arrays in real-world applications, potentially necessitating further research efforts.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: ACS Nano Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: ACS Nano Año: 2024 Tipo del documento: Article