Recent advances in perovskites-based optoelectronics

Abstract: The development and utilization of perovskites are beneficial to improve or even change the optical properties of devices and obtain fascinating performances such as higher photoelectric conversion efficiency, better thermal stability, higher external quantum efficiency, more excellent remodeling, and flexibility. So, there are many articles on perovskite reviews having been reported from synthesis, properties to various applications (such as optoelectronic devices, electrical memristor, etc.). Based on the reported review of perovskites, this study will make a further supplement to the research progress of perovskites in visible light communication (VLC), optical neuromorphic devices, and highlight huge development prospects in these emerging fields in recent years. First, we briefly reviewed the preparation methods of common perovskite materials, followed by the optical and electrical characteristics. Then, the specific applications of optical properties based on perovskite materials are emphatically investigated, in addition to traditional photovoltaic devices, especially the latest cutting-edge fields of information encryption and decryption, VLC as well as optical memristive devices for photonic synapse and photonic neuromorphic computing. Finally, the main conclusions and prospects are given. Perovskite-based optical memristive devices are enabled to assist photonic neuromorphic calculations, showing huge potential application prospects in intelligent integrated chip fusing sensing, storage, and computing.

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Recent advances in perovskites-based optoelectronics ; volume:11 ; number:1 ; year:2022 ; pages:3063-3094 ; extent:32 ; Nanotechnology reviews ; 11, Heft 1 (2022), 3063-3094 (gesamt 32)

Beteiligte, Orts- und Zeitangaben

• Urheber: Liu, Xiaoyan ; Wang, Yijie ; Wang, Yu ; Zhao, Yize ; Yu, Jinghao ; Shan, Xinyi ; Tong, Yi ; Lian, Xiaojuan ; Wan, Xiang ; Wang, Lei ; Tian, Pengfei ; Kuo, Hao-Chung

Weitere Informationen

• DOI: 10.1515/ntrev-2022-0494
• URN: urn:nbn:de:101:1-2022110913125099998685
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 21.03.2025, 07:14 MEZ