Integration of Perovskite/Low-Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

Yu Jin Du, Junjie Yang, Ziyu Lv (Corresponding Author), Yongbiao Zhai (Corresponding Author), Zezhuang Yi, Yuhui Xie, Ming Lin Zheng, Xiangyu Ma, Guodong Gong, Yan Wang, Ye Zhou, Su Ting Han (Corresponding Author)

Research output: Journal article publicationReview articleAcademic researchpeer-review

Abstract

Heterojunctions combining halide perovskites with low-dimensional materials are revolutionizing optoelectronic device design by leveraging complementary properties. Halide perovskites, known for their tunable bandgaps, excellent light-harvesting, and efficient charge carrier mobility, provide a robust foundation for photodetectors (PDs) and imaging sensors. Low-dimensional materials contribute ultrafast carrier mobility, enhanced light-matter interactions, and mechanical flexibility. When integrated into heterostructures, these materials enable precise control over charge dynamics, leading to significant improvements in device efficiency, stability, and response speed. This synergy addresses critical challenges in optoelectronics, advancing flexible electronics, wearable sensors, and high-sensitivity imaging systems. Ongoing advancements in interface engineering and material synthesis are continually enhancing the reliability and operational efficacy of these devices across various environmental conditions. Additionally, these heterostructures show substantial promise in neuromorphic computing, where their optoelectronic properties support energy-efficient, event-driven data processing. By mimicking the adaptive and hierarchical nature of biological visual systems, they offer new possibilities for real-time image analysis and intelligent decision-making. This review highlights the latest developments in halide perovskite-based heterojunctions with low-dimensional materials and their transformative role in bridging the gap between artificial and biological vision, driving advancements in technologies such as adaptive robotics and bio-inspired visual systems.

Original languageEnglish
Article number2500953
JournalAdvanced Functional Materials
DOIs
Publication statusAccepted/In press - 14 Apr 2025

Keywords

  • halide perovskites
  • heterojunctions
  • low-dimensional materials
  • memory
  • neuromorphic computing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • General Chemistry
  • Biomaterials
  • General Materials Science
  • Condensed Matter Physics
  • Electrochemistry

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